diff --git "a/vae_decoder.xml" "b/vae_decoder.xml"
--- "a/vae_decoder.xml"
+++ "b/vae_decoder.xml"
@@ -1,10 +1,10 @@
-<?xml version="1.0" ?>
+<?xml version="1.0"?>
 <net name="torch_jit" version="11">
 	<layers>
 		<layer id="0" name="latents" type="Parameter" version="opset1">
-			<data shape="1,4,64,64" element_type="f32"/>
+			<data shape="1,4,64,64" element_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="latents"/>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
 			</rt_info>
 			<output>
 				<port id="0" precision="FP32" names="latents">
@@ -15,33 +15,70 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="1" name="Constant_11670" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 512" offset="0" size="2048"/>
+		<layer id="1" name="Constant_178907_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="0" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="2" name="Constant_11665" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 512" offset="2048" size="2048"/>
+		<layer id="2" name="Constant_178907" 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>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_178903_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="1024" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="3" name="Constant_11578" type="Const" version="opset1">
-			<data element_type="f32" shape="4, 4, 1, 1" offset="4096" size="64"/>
+		<layer id="4" name="Constant_178903" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_148, input, m.post_quant_conv.weight, onnx::Mul_249"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="Constant_178789_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 4, 1, 1" offset="2048" size="32" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>4</dim>
 					<dim>4</dim>
 					<dim>1</dim>
@@ -49,11 +86,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="4" name="Convolution_148" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+		<layer id="6" name="Constant_178789" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_148, input, m.post_quant_conv.weight, onnx::Mul_249"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="/post_quant_conv/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -77,10 +133,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="5" name="Reshape_168" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 4, 1, 1" offset="4160" size="16"/>
+		<layer id="8" name="Reshape_159075_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>4</dim>
 					<dim>1</dim>
@@ -88,11 +144,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="6" name="input.3" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="9" name="Reshape_159075" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_167, Reshape_168, input.3"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="/post_quant_conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -108,7 +183,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.3">
+				<port id="2" precision="FP32" names="/post_quant_conv/Conv_output_0">
 					<dim>1</dim>
 					<dim>4</dim>
 					<dim>64</dim>
@@ -116,13 +191,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="7" name="m.decoder.conv_in.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 4, 3, 3" offset="4176" size="73728"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.conv_in.weight"/>
-			</rt_info>
+		<layer id="11" name="vae.decoder.conv_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 4, 3, 3" offset="2088" size="36864" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.conv_in.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>4</dim>
 					<dim>3</dim>
@@ -130,11 +202,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="8" name="Convolution_196" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="12" name="vae.decoder.conv_in.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_196"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.conv_in.weight">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="/decoder/conv_in/Conv/WithoutBiases" 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>
@@ -158,10 +249,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="9" name="Reshape_216" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="77904" size="2048"/>
+		<layer id="14" name="Reshape_159123_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -169,11 +260,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="10" name="onnx::Cast_252" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="15" name="Reshape_159123" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_215, Reshape_216, input.7, onnx::Cast_252"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="/decoder/conv_in/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -189,7 +299,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.7,onnx::Cast_252">
+				<port id="2" precision="FP32" names="/decoder/conv_in/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -197,22 +307,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="11" name="onnx::Reshape_254" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_254"/>
-			</rt_info>
+		<layer id="17" name="/decoder/mid_block/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_254">
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="12" name="onnx::InstanceNormalization_255" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_255"/>
-			</rt_info>
+		<layer id="18" name="/decoder/mid_block/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -225,29 +329,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_255">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="13" name="Constant_254" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_254"/>
-			</rt_info>
+		<layer id="19" name="Constant_159160" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="14" name="MVN_255" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_274, Concat_319, MVN_255, Multiply_302, Reshape_275, Reshape_320, onnx::Reshape_258"/>
-			</rt_info>
+		<layer id="20" name="MVN_159161" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -259,18 +357,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_258">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="15" name="onnx::Reshape_259" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_259"/>
-			</rt_info>
+		<layer id="21" name="/decoder/mid_block/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -280,16 +375,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_259">
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="16" name="onnx::Mul_260" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_260"/>
-			</rt_info>
+		<layer id="22" name="/decoder/mid_block/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -301,7 +393,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_260">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -309,10 +401,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="17" name="Constant_11659" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="79984" size="2048"/>
+		<layer id="23" name="Constant_178897_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -320,11 +412,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="18" name="onnx::Add_263" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="24" name="Constant_178897" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_263"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="/decoder/mid_block/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -340,7 +451,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_263">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -348,10 +459,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="19" name="Constant_11660" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="82032" size="2048"/>
+		<layer id="26" name="Constant_178898_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="41032" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -359,11 +470,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="20" name="onnx::Cast_266" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="27" name="Constant_178898" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.11, onnx::Cast_266"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="/decoder/mid_block/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -379,7 +509,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.11,onnx::Cast_266">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -387,10 +517,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="21" name="input.15" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.15, onnx::Mul_268"/>
-			</rt_info>
+		<layer id="29" name="/decoder/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -400,7 +527,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.15">
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.0/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -408,13 +535,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="22" name="m.decoder.mid_block.resnets.0.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="84080" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.mid_block.resnets.0.conv1.weight"/>
-			</rt_info>
+		<layer id="30" name="vae.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="42056" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.mid_block.resnets.0.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -422,11 +546,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="23" name="Convolution_360" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="31" name="vae.decoder.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_360"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="32" name="/decoder/mid_block/resnets.0/conv1/Conv/WithoutBiases" 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>
@@ -450,10 +593,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="24" name="Reshape_380" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="9521264" size="2048"/>
+		<layer id="33" name="Reshape_159285_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4760648" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -461,11 +604,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="25" name="onnx::Cast_270" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="34" name="Reshape_159285" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_379, Reshape_380, input.19, onnx::Cast_270"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="35" name="/decoder/mid_block/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -481,7 +643,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.19,onnx::Cast_270">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -489,22 +651,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="26" name="onnx::Reshape_272" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_272"/>
-			</rt_info>
+		<layer id="36" name="/decoder/mid_block/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_272">
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.0/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="27" name="onnx::InstanceNormalization_273" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_273"/>
-			</rt_info>
+		<layer id="37" name="/decoder/mid_block/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -517,29 +673,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_273">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="28" name="Constant_418" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_418"/>
-			</rt_info>
+		<layer id="38" name="Constant_159322" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="29" name="MVN_419" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_438, Concat_483, MVN_419, Multiply_466, Reshape_439, Reshape_484, onnx::Reshape_276"/>
-			</rt_info>
+		<layer id="39" name="MVN_159323" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -551,18 +701,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_276">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="30" name="onnx::Reshape_277" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_277"/>
-			</rt_info>
+		<layer id="40" name="/decoder/mid_block/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -572,16 +719,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_277">
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="31" name="onnx::Mul_278" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_278"/>
-			</rt_info>
+		<layer id="41" name="/decoder/mid_block/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -593,7 +737,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_278">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -601,10 +745,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="32" name="Constant_11661" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="9523312" size="2048"/>
+		<layer id="42" name="Constant_178899_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4761672" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -612,11 +756,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="33" name="onnx::Add_281" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="43" name="Constant_178899" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_281"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="44" name="/decoder/mid_block/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -632,7 +795,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_281">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -640,10 +803,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="34" name="Constant_11662" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="9525360" size="2048"/>
+		<layer id="45" name="Constant_178900_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4762696" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -651,11 +814,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="35" name="onnx::Cast_284" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="46" name="Constant_178900" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.23, onnx::Cast_284"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="47" name="/decoder/mid_block/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -671,7 +853,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.23,onnx::Cast_284">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -679,10 +861,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="36" name="input.27" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.27, onnx::Mul_286"/>
-			</rt_info>
+		<layer id="48" name="/decoder/mid_block/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -692,7 +871,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.27">
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.0/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -700,13 +879,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="37" name="m.decoder.mid_block.resnets.0.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="9527408" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.mid_block.resnets.0.conv2.weight"/>
-			</rt_info>
+		<layer id="49" name="vae.decoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="4763720" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.mid_block.resnets.0.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -714,11 +890,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="38" name="Convolution_524" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="50" name="vae.decoder.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_524"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="51" name="/decoder/mid_block/resnets.0/conv2/Conv/WithoutBiases" 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>
@@ -742,10 +937,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="39" name="Reshape_544" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="18964592" size="2048"/>
+		<layer id="52" name="Reshape_159447_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9482312" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -753,19 +948,13 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="40" name="onnx::Add_288" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="53" name="Reshape_159447" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_543, Reshape_544, onnx::Add_288"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
-				</port>
-				<port id="1" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -773,7 +962,32 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_288">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="54" name="/decoder/mid_block/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -781,11 +995,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="41" name="onnx::Div_289" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.31, onnx::Div_289"/>
-			</rt_info>
+		<layer id="55" name="/decoder/mid_block/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -801,7 +1012,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.31,onnx::Div_289">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/Add_output_0,/decoder/mid_block/resnets.0/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -809,22 +1020,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="42" name="onnx::Reshape_296" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_296"/>
-			</rt_info>
+		<layer id="56" name="/decoder/mid_block/attentions.0/group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_296">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/group_norm/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="43" name="onnx::InstanceNormalization_297" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_297"/>
-			</rt_info>
+		<layer id="57" name="/decoder/mid_block/attentions.0/group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -837,29 +1042,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_297">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="44" name="Constant_584" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_584"/>
-			</rt_info>
+		<layer id="58" name="Constant_159487" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="45" name="MVN_585" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_604, Concat_649, MVN_585, Multiply_632, Reshape_605, Reshape_650, onnx::Reshape_300"/>
-			</rt_info>
+		<layer id="59" name="MVN_159488" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -871,18 +1070,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_300">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="46" name="onnx::Reshape_301" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_301"/>
-			</rt_info>
+		<layer id="60" name="/decoder/mid_block/attentions.0/group_norm/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -892,16 +1088,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_301">
+				<port id="1" precision="I64" names="/decoder/mid_block/attentions.0/group_norm/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="47" name="onnx::Mul_302" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_302"/>
-			</rt_info>
+		<layer id="61" name="/decoder/mid_block/attentions.0/group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -913,7 +1106,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_302">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -921,10 +1114,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="48" name="Constant_11663" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="18966640" size="2048"/>
+		<layer id="62" name="Constant_178901_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9483336" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -932,11 +1125,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="49" name="onnx::Add_305" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="63" name="Constant_178901" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_305"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="64" name="/decoder/mid_block/attentions.0/group_norm/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -952,7 +1164,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_305">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -960,10 +1172,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="50" name="Constant_11664" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="18968688" size="2048"/>
+		<layer id="65" name="Constant_178902_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9484360" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -971,11 +1183,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="51" name="onnx::Reshape_308" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="66" name="Constant_178902" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_308"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="67" name="/decoder/mid_block/attentions.0/group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -991,7 +1222,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_308">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/group_norm/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -999,22 +1230,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="52" name="onnx::Reshape_963" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="18970736" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_963"/>
-			</rt_info>
+		<layer id="68" name="/decoder/mid_block/attentions.0/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="9485384" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_963">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="53" name="onnx::Transpose_317" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_317"/>
-			</rt_info>
+		<layer id="69" name="/decoder/mid_block/attentions.0/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1027,68 +1252,47 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_317">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="54" name="Constant_693" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="18970760" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_693"/>
-			</rt_info>
+		<layer id="70" name="Constant_178707_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="9485408" size="524288" />
 			<output>
-				<port id="0" precision="I64">
-					<dim>3</dim>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="55" name="onnx::MatMul_318" type="Transpose" version="opset1">
+		<layer id="71" name="Constant_178707" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_318"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
-					<dim>4096</dim>
-				</port>
-				<port id="1" precision="I64">
-					<dim>3</dim>
-				</port>
-			</input>
-			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_318">
-					<dim>1</dim>
-					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="56" name="Constant_11503" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512" offset="18970784" size="1048576"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_320, onnx::MatMul_964"/>
-			</rt_info>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>512</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="57" name="onnx::Add_320" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_320, onnx::MatMul_964"/>
-			</rt_info>
+		<layer id="72" name="/decoder/mid_block/attentions.0/query/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4096</dim>
 					<dim>512</dim>
+					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -1096,18 +1300,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_320">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/query/MatMul_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="58" name="query_proj" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="query_proj"/>
-			</rt_info>
+		<layer id="73" name="/decoder/mid_block/attentions.0/query/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1121,29 +1322,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="query_proj">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/query/Add_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="59" name="onnx::Reshape_976" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20019360" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_976"/>
-			</rt_info>
+		<layer id="74" name="/decoder/mid_block/attentions.0/Constant_1" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009696" size="32" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_971,onnx::Reshape_976,onnx::Reshape_981">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_1_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="60" name="onnx::Transpose_341" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_341"/>
-			</rt_info>
+		<layer id="75" name="/decoder/mid_block/attentions.0/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1155,7 +1350,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_341">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -1163,19 +1358,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="61" name="Constant_11505" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20019392" size="32"/>
+		<layer id="76" name="Constant_178709" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009728" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="62" name="onnx::Mul_342" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_342"/>
-			</rt_info>
+		<layer id="77" name="/decoder/mid_block/attentions.0/Transpose_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1188,7 +1380,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_342">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_1_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
@@ -1196,22 +1388,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="63" name="Constant_11666" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="20019424" size="4"/>
+		<layer id="78" name="/decoder/mid_block/attentions.0/Constant_2" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009760" size="24" />
 			<output>
-				<port id="0" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_2_output_0">
+					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="64" name="onnx::MatMul_373" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_373"/>
-			</rt_info>
+		<layer id="79" name="/decoder/mid_block/attentions.0/Reshape_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1219,54 +1405,82 @@
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
-				<port id="1" precision="FP32">
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
-					<dim>1</dim>
+				<port id="1" precision="I64">
+					<dim>3</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_373">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_2_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="65" name="Constant_11667" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 512" offset="20019428" size="2048"/>
+		<layer id="80" name="Constant_178904_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10009784" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="66" name="Constant_11517" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512" offset="20021476" size="1048576"/>
+		<layer id="81" name="Constant_178904" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_323, onnx::MatMul_965"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="Constant_178721_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="10010808" size="524288" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="67" name="onnx::Add_323" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="83" name="Constant_178721" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_323, onnx::MatMul_965"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="84" name="/decoder/mid_block/attentions.0/key/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4096</dim>
 					<dim>512</dim>
+					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -1274,18 +1488,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_323">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/key/MatMul_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="68" name="key_proj" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="key_proj"/>
-			</rt_info>
+		<layer id="85" name="/decoder/mid_block/attentions.0/key/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1299,18 +1510,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="key_proj">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/key/Add_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="69" name="onnx::Transpose_356" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_356"/>
-			</rt_info>
+		<layer id="86" name="/decoder/mid_block/attentions.0/Constant_3" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009696" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_3_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="87" name="/decoder/mid_block/attentions.0/Reshape_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1322,7 +1538,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_356">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_3_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -1330,21 +1546,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="70" name="Constant_719" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="21070052" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_719"/>
-			</rt_info>
+		<layer id="88" name="Constant_178723" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009728" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="71" name="onnx::Mul_374" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_374"/>
-			</rt_info>
+		<layer id="89" name="/decoder/mid_block/attentions.0/Transpose_2" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1357,135 +1568,198 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_374">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_2_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="72" name="Constant_11668" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 1, 1" offset="20019424" size="4"/>
+		<layer id="90" name="/decoder/mid_block/attentions.0/Constant_4" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009760" size="24" />
 			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_4_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="91" name="/decoder/mid_block/attentions.0/Reshape_4" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_4_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="92" name="Constant_178905_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 1" offset="10535096" size="2" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="73" name="onnx::MatMul_376" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="93" name="Constant_178905" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_376"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
 			<input>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
+					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
-					<dim>512</dim>
-					<dim>4096</dim>
 				</port>
+			</input>
+			<output>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="94" name="Multiply_178791" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
 					<dim>1</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_376">
-					<dim>1</dim>
+				<port id="2" precision="FP32">
 					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="74" name="onnx::Cast_377" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Cast_377, onnx::Softmax_378"/>
-			</rt_info>
+		<layer id="95" name="/decoder/mid_block/attentions.0/Mul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
-					<dim>1</dim>
-					<dim>512</dim>
 					<dim>4096</dim>
+					<dim>512</dim>
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Cast_377,onnx::Softmax_378">
-					<dim>1</dim>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Add_output_0,/decoder/mid_block/attentions.0/Cast_output_0,/decoder/mid_block/attentions.0/Mul_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="75" name="onnx::Cast_379" type="SoftMax" version="opset8">
-			<data axis="-1"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Cast_379, onnx::MatMul_380"/>
-			</rt_info>
+		<layer id="96" name="/decoder/mid_block/attentions.0/Softmax" type="SoftMax" version="opset8">
+			<data axis="-1" />
 			<input>
 				<port id="0" precision="FP32">
-					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="onnx::Cast_379,onnx::MatMul_380">
-					<dim>1</dim>
+				<port id="1" precision="FP32" names="/decoder/mid_block/attentions.0/Cast_1_output_0,/decoder/mid_block/attentions.0/Softmax_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="76" name="Constant_11669" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 1, 512" offset="21070084" size="2048"/>
+		<layer id="97" name="Constant_178906_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10535098" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="77" name="Constant_11524" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512" offset="21072132" size="1048576"/>
+		<layer id="98" name="Constant_178906" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_326, onnx::MatMul_966"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="Constant_178735_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="10536122" size="524288" />
+			<output>
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="78" name="onnx::Add_326" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="100" name="Constant_178735" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_326, onnx::MatMul_966"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="101" name="/decoder/mid_block/attentions.0/value/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="true" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
-					<dim>4096</dim>
 					<dim>512</dim>
+					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>512</dim>
@@ -1493,18 +1767,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_326">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/value/MatMul_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="79" name="value_proj" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="value_proj"/>
-			</rt_info>
+		<layer id="102" name="/decoder/mid_block/attentions.0/value/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1518,18 +1789,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="value_proj">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/value/Add_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="80" name="onnx::Transpose_370" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_370"/>
-			</rt_info>
+		<layer id="103" name="/decoder/mid_block/attentions.0/Constant_5" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009696" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_5_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="104" name="/decoder/mid_block/attentions.0/Reshape_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1541,7 +1817,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_370">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_5_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -1549,19 +1825,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="81" name="Constant_11526" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="20019392" size="32"/>
+		<layer id="105" name="Constant_178737" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="10009728" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="82" name="onnx::MatMul_371" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_371"/>
-			</rt_info>
+		<layer id="106" name="/decoder/mid_block/attentions.0/Transpose_3" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1574,7 +1847,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_371">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_3_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
@@ -1582,27 +1855,79 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="83" name="onnx::Transpose_381" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="false"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_381"/>
-			</rt_info>
+		<layer id="107" name="/decoder/mid_block/attentions.0/Constant_6" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009760" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_6_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="108" name="/decoder/mid_block/attentions.0/Reshape_6" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_6_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="109" name="/decoder/mid_block/attentions.0/MatMul_1" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="false" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>4096</dim>
 				</port>
 				<port id="1" precision="FP32">
 					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/MatMul_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="110" name="/decoder/mid_block/attentions.0/Constant_9" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11060410" size="32" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_9_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="111" name="/decoder/mid_block/attentions.0/Reshape_7" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_381">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_7_output_0">
 					<dim>1</dim>
 					<dim>1</dim>
 					<dim>4096</dim>
@@ -1610,19 +1935,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="84" name="Constant_11533" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="22120708" size="32"/>
+		<layer id="112" name="Constant_178744" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11060442" size="32" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="85" name="onnx::Reshape_382" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_382"/>
-			</rt_info>
+		<layer id="113" name="/decoder/mid_block/attentions.0/Transpose_5" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1635,7 +1957,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_382">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_5_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>1</dim>
@@ -1643,22 +1965,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="86" name="onnx::Reshape_985" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="22120740" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_985"/>
-			</rt_info>
+		<layer id="114" name="/decoder/mid_block/attentions.0/Constant_10" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="10009760" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_985">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_10_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="87" name="onnx::MatMul_393" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::MatMul_393"/>
-			</rt_info>
+		<layer id="115" name="/decoder/mid_block/attentions.0/Reshape_8" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1671,30 +1987,42 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::MatMul_393">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_8_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="88" name="Constant_11545" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512" offset="22120764" size="1048576"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_395, onnx::MatMul_986"/>
-			</rt_info>
+		<layer id="116" name="Constant_178756_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="11060474" size="524288" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="89" name="onnx::Add_395" type="MatMul" version="opset1">
-			<data transpose_a="false" transpose_b="true"/>
+		<layer id="117" name="Constant_178756" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_395, onnx::MatMul_986"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="118" name="/decoder/mid_block/attentions.0/proj_attn/MatMul" type="MatMul" version="opset1">
+			<data transpose_a="false" transpose_b="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1707,18 +2035,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_395">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/proj_attn/MatMul_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="90" name="onnx::Transpose_396" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Transpose_396"/>
-			</rt_info>
+		<layer id="119" name="/decoder/mid_block/attentions.0/proj_attn/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1732,28 +2057,22 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Transpose_396">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/proj_attn/Add_output_0">
 					<dim>1</dim>
 					<dim>4096</dim>
 					<dim>512</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="91" name="Constant_738" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="18970760" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_738"/>
-			</rt_info>
+		<layer id="120" name="Constant_159682" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="11584762" size="24" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="92" name="onnx::Reshape_397" type="Transpose" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_397"/>
-			</rt_info>
+		<layer id="121" name="/decoder/mid_block/attentions.0/Transpose_6" type="Transpose" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1765,29 +2084,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_397">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_6_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>4096</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="93" name="onnx::Reshape_991" type="Const" version="opset1">
-			<data element_type="i64" shape="4" offset="23169340" size="32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_991"/>
-			</rt_info>
+		<layer id="122" name="/decoder/mid_block/attentions.0/Constant_11" type="Const" version="opset1">
+			<data element_type="i64" shape="4" offset="11584786" size="32" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_991">
+				<port id="0" precision="I64" names="/decoder/mid_block/attentions.0/Constant_11_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="94" name="onnx::Add_407" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_407"/>
-			</rt_info>
+		<layer id="123" name="/decoder/mid_block/attentions.0/Reshape_9" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1799,7 +2112,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_407">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_9_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -1807,11 +2120,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="95" name="onnx::Div_408" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.35, onnx::Cast_410, onnx::Div_408"/>
-			</rt_info>
+		<layer id="124" name="/decoder/mid_block/attentions.0/Add_1" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1827,7 +2137,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.35,onnx::Cast_410,onnx::Div_408">
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Add_1_output_0,/decoder/mid_block/attentions.0/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -1835,22 +2145,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="96" name="onnx::Reshape_412" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_412"/>
-			</rt_info>
+		<layer id="125" name="/decoder/mid_block/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_412">
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="97" name="onnx::InstanceNormalization_413" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_413"/>
-			</rt_info>
+		<layer id="126" name="/decoder/mid_block/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1863,29 +2167,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_413">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="98" name="Constant_759" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_759"/>
-			</rt_info>
+		<layer id="127" name="Constant_159703" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="99" name="MVN_760" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_779, Concat_824, MVN_760, Multiply_807, Reshape_780, Reshape_825, onnx::Reshape_416"/>
-			</rt_info>
+		<layer id="128" name="MVN_159704" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1897,18 +2195,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_416">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="100" name="onnx::Reshape_417" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_417"/>
-			</rt_info>
+		<layer id="129" name="/decoder/mid_block/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1918,16 +2213,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_417">
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="101" name="onnx::Mul_418" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_418"/>
-			</rt_info>
+		<layer id="130" name="/decoder/mid_block/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1939,7 +2231,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_418">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -1947,10 +2239,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="102" name="Constant_11671" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="23169372" size="2048"/>
+		<layer id="131" name="Constant_178908_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="11584818" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -1958,11 +2250,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="103" name="onnx::Add_421" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="132" name="Constant_178908" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_421"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="133" name="/decoder/mid_block/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -1978,7 +2289,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_421">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -1986,10 +2297,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="104" name="Constant_11672" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="23171420" size="2048"/>
+		<layer id="134" name="Constant_178909_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="11585842" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -1997,11 +2308,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="105" name="onnx::Cast_424" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="135" name="Constant_178909" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.39, onnx::Cast_424"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="136" name="/decoder/mid_block/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2017,7 +2347,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.39,onnx::Cast_424">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2025,10 +2355,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="106" name="input.43" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.43, onnx::Mul_426"/>
-			</rt_info>
+		<layer id="137" name="/decoder/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2038,7 +2365,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.43">
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.1/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2046,13 +2373,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="107" name="m.decoder.mid_block.resnets.1.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="23173468" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.mid_block.resnets.1.conv1.weight"/>
-			</rt_info>
+		<layer id="138" name="vae.decoder.mid_block.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="11586866" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.mid_block.resnets.1.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -2060,11 +2384,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="108" name="Convolution_865" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="139" name="vae.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_865"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="140" name="/decoder/mid_block/resnets.1/conv1/Conv/WithoutBiases" 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>
@@ -2088,10 +2431,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="109" name="Reshape_885" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="32610652" size="2048"/>
+		<layer id="141" name="Reshape_159828_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16305458" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2099,11 +2442,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="110" name="onnx::Cast_428" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="142" name="Reshape_159828" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_884, Reshape_885, input.47, onnx::Cast_428"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="143" name="/decoder/mid_block/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2119,7 +2481,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.47,onnx::Cast_428">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2127,22 +2489,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="111" name="onnx::Reshape_430" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_430"/>
-			</rt_info>
+		<layer id="144" name="/decoder/mid_block/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_430">
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="112" name="onnx::InstanceNormalization_431" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_431"/>
-			</rt_info>
+		<layer id="145" name="/decoder/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2155,29 +2511,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_431">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="113" name="Constant_923" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_923"/>
-			</rt_info>
+		<layer id="146" name="Constant_159865" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="114" name="MVN_924" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_943, Concat_988, MVN_924, Multiply_971, Reshape_944, Reshape_989, onnx::Reshape_434"/>
-			</rt_info>
+		<layer id="147" name="MVN_159866" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2189,18 +2539,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_434">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="115" name="onnx::Reshape_435" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_435"/>
-			</rt_info>
+		<layer id="148" name="/decoder/mid_block/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2210,16 +2557,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_435">
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="116" name="onnx::Mul_436" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_436"/>
-			</rt_info>
+		<layer id="149" name="/decoder/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2231,7 +2575,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_436">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2239,10 +2583,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="117" name="Constant_11673" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="32612700" size="2048"/>
+		<layer id="150" name="Constant_178910_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16306482" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2250,11 +2594,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="118" name="onnx::Add_439" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="151" name="Constant_178910" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_439"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="152" name="/decoder/mid_block/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2270,7 +2633,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_439">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2278,10 +2641,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="119" name="Constant_11674" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="32614748" size="2048"/>
+		<layer id="153" name="Constant_178911_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16307506" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2289,11 +2652,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="120" name="onnx::Cast_442" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="154" name="Constant_178911" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.51, onnx::Cast_442"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="155" name="/decoder/mid_block/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2309,7 +2691,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.51,onnx::Cast_442">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2317,10 +2699,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="121" name="input.55" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.55, onnx::Mul_444"/>
-			</rt_info>
+		<layer id="156" name="/decoder/mid_block/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2330,7 +2709,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.55">
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.1/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2338,13 +2717,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="122" name="m.decoder.mid_block.resnets.1.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="32616796" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.mid_block.resnets.1.conv2.weight"/>
-			</rt_info>
+		<layer id="157" name="vae.decoder.mid_block.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="16308530" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.mid_block.resnets.1.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -2352,11 +2728,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="123" name="Convolution_1029" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="158" name="vae.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_1029"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.mid_block.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="159" name="/decoder/mid_block/resnets.1/conv2/Conv/WithoutBiases" 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>
@@ -2380,10 +2775,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="124" name="Reshape_1049" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="42053980" size="2048"/>
+		<layer id="160" name="Reshape_159990_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21027122" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2391,11 +2786,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="125" name="onnx::Add_446" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="161" name="Reshape_159990" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1048, Reshape_1049, onnx::Add_446"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="162" name="/decoder/mid_block/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2411,7 +2825,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_446">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2419,11 +2833,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="126" name="onnx::Div_447" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.59, onnx::Cast_449, onnx::Div_447"/>
-			</rt_info>
+		<layer id="163" name="/decoder/mid_block/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2439,7 +2850,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.59,onnx::Cast_449,onnx::Div_447">
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/Add_output_0,/decoder/mid_block/resnets.1/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2447,22 +2858,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="127" name="onnx::Reshape_451" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_451"/>
-			</rt_info>
+		<layer id="164" name="/decoder/up_blocks.0/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_451">
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="128" name="onnx::InstanceNormalization_452" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_452"/>
-			</rt_info>
+		<layer id="165" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2475,29 +2880,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_452">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="129" name="Constant_1090" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1090"/>
-			</rt_info>
+		<layer id="166" name="Constant_160030" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="130" name="MVN_1091" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1110, Concat_1155, MVN_1091, Multiply_1138, Reshape_1111, Reshape_1156, onnx::Reshape_455"/>
-			</rt_info>
+		<layer id="167" name="MVN_160031" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2509,18 +2908,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_455">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="131" name="onnx::Reshape_456" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_456"/>
-			</rt_info>
+		<layer id="168" name="/decoder/up_blocks.0/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2530,16 +2926,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_456">
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="132" name="onnx::Mul_457" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_457"/>
-			</rt_info>
+		<layer id="169" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2551,7 +2944,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_457">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2559,10 +2952,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="133" name="Constant_11675" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="42056028" size="2048"/>
+		<layer id="170" name="Constant_178912_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21028146" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2570,11 +2963,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="134" name="onnx::Add_460" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="171" name="Constant_178912" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_460"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="172" name="/decoder/up_blocks.0/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2590,18 +3002,40 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_460">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="173" name="Constant_178913_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21029170" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="174" name="Constant_178913" 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>512</dim>
+					<dim>1</dim>
 					<dim>1</dim>
-					<dim>512</dim>
-					<dim>64</dim>
-					<dim>64</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="135" name="Constant_11676" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="42058076" size="2048"/>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2609,11 +3043,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="136" name="onnx::Cast_463" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.63, onnx::Cast_463"/>
-			</rt_info>
+		<layer id="175" name="/decoder/up_blocks.0/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2629,7 +3060,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.63,onnx::Cast_463">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2637,10 +3068,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="137" name="input.67" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.67, onnx::Mul_465"/>
-			</rt_info>
+		<layer id="176" name="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2650,7 +3078,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.67">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.0/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2658,13 +3086,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="138" name="m.decoder.up_blocks.0.resnets.0.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="42060124" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.resnets.0.conv1.weight"/>
-			</rt_info>
+		<layer id="177" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="21030194" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.resnets.0.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -2672,11 +3097,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="139" name="Convolution_1196" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="178" name="vae.decoder.up_blocks.0.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_1196"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="179" name="/decoder/up_blocks.0/resnets.0/conv1/Conv/WithoutBiases" 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>
@@ -2700,10 +3144,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="140" name="Reshape_1216" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="51497308" size="2048"/>
+		<layer id="180" name="Reshape_160155_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25748786" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2711,11 +3155,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="141" name="onnx::Cast_467" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="181" name="Reshape_160155" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1215, Reshape_1216, input.71, onnx::Cast_467"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="182" name="/decoder/up_blocks.0/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2731,7 +3194,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.71,onnx::Cast_467">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2739,22 +3202,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="142" name="onnx::Reshape_469" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_469"/>
-			</rt_info>
+		<layer id="183" name="/decoder/up_blocks.0/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_469">
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="143" name="onnx::InstanceNormalization_470" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_470"/>
-			</rt_info>
+		<layer id="184" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2767,29 +3224,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_470">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="144" name="Constant_1254" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1254"/>
-			</rt_info>
+		<layer id="185" name="Constant_160192" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="145" name="MVN_1255" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1274, Concat_1319, MVN_1255, Multiply_1302, Reshape_1275, Reshape_1320, onnx::Reshape_473"/>
-			</rt_info>
+		<layer id="186" name="MVN_160193" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2801,18 +3252,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_473">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="146" name="onnx::Reshape_474" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_474"/>
-			</rt_info>
+		<layer id="187" name="/decoder/up_blocks.0/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2822,16 +3270,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_474">
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="147" name="onnx::Mul_475" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_475"/>
-			</rt_info>
+		<layer id="188" name="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2843,7 +3288,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_475">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2851,10 +3296,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="148" name="Constant_11677" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="51499356" size="2048"/>
+		<layer id="189" name="Constant_178914_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25749810" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2862,11 +3307,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="149" name="onnx::Add_478" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="190" name="Constant_178914" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_478"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="191" name="/decoder/up_blocks.0/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2882,7 +3346,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_478">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2890,10 +3354,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="150" name="Constant_11678" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="51501404" size="2048"/>
+		<layer id="192" name="Constant_178915_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="25750834" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -2901,11 +3365,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="151" name="onnx::Cast_481" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="193" name="Constant_178915" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.75, onnx::Cast_481"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="194" name="/decoder/up_blocks.0/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2921,7 +3404,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.75,onnx::Cast_481">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2929,10 +3412,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="152" name="input.79" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.79, onnx::Mul_483"/>
-			</rt_info>
+		<layer id="195" name="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -2942,7 +3422,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.79">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.0/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -2950,13 +3430,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="153" name="m.decoder.up_blocks.0.resnets.0.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="51503452" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.resnets.0.conv2.weight"/>
-			</rt_info>
+		<layer id="196" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="25751858" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.resnets.0.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -2964,11 +3441,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="154" name="Convolution_1360" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="197" name="vae.decoder.up_blocks.0.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_1360"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="198" name="/decoder/up_blocks.0/resnets.0/conv2/Conv/WithoutBiases" 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>
@@ -2992,10 +3488,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="155" name="Reshape_1380" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="60940636" size="2048"/>
+		<layer id="199" name="Reshape_160317_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30470450" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3003,11 +3499,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="156" name="onnx::Add_485" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="200" name="Reshape_160317" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1379, Reshape_1380, onnx::Add_485"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="201" name="/decoder/up_blocks.0/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3023,7 +3538,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_485">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3031,11 +3546,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="157" name="onnx::Div_486" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.83, onnx::Cast_488, onnx::Div_486"/>
-			</rt_info>
+		<layer id="202" name="/decoder/up_blocks.0/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3051,7 +3563,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.83,onnx::Cast_488,onnx::Div_486">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/Add_output_0,/decoder/up_blocks.0/resnets.0/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3059,22 +3571,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="158" name="onnx::Reshape_490" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_490"/>
-			</rt_info>
+		<layer id="203" name="/decoder/up_blocks.0/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_490">
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="159" name="onnx::InstanceNormalization_491" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_491"/>
-			</rt_info>
+		<layer id="204" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3087,29 +3593,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_491">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="160" name="Constant_1421" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1421"/>
-			</rt_info>
+		<layer id="205" name="Constant_160357" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="161" name="MVN_1422" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1441, Concat_1486, MVN_1422, Multiply_1469, Reshape_1442, Reshape_1487, onnx::Reshape_494"/>
-			</rt_info>
+		<layer id="206" name="MVN_160358" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3121,18 +3621,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_494">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="162" name="onnx::Reshape_495" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_495"/>
-			</rt_info>
+		<layer id="207" name="/decoder/up_blocks.0/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3142,16 +3639,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_495">
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="163" name="onnx::Mul_496" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_496"/>
-			</rt_info>
+		<layer id="208" name="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3163,7 +3657,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_496">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3171,10 +3665,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="164" name="Constant_11679" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="60942684" size="2048"/>
+		<layer id="209" name="Constant_178916_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30471474" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3182,11 +3676,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="165" name="onnx::Add_499" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="210" name="Constant_178916" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_499"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="211" name="/decoder/up_blocks.0/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3202,7 +3715,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_499">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3210,10 +3723,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="166" name="Constant_11680" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="60944732" size="2048"/>
+		<layer id="212" name="Constant_178917_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="30472498" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3221,11 +3734,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="167" name="onnx::Cast_502" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="213" name="Constant_178917" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.87, onnx::Cast_502"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="214" name="/decoder/up_blocks.0/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3241,7 +3773,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.87,onnx::Cast_502">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3249,10 +3781,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="168" name="input.91" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.91, onnx::Mul_504"/>
-			</rt_info>
+		<layer id="215" name="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3262,7 +3791,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.91">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.1/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3270,13 +3799,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="169" name="m.decoder.up_blocks.0.resnets.1.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="60946780" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.resnets.1.conv1.weight"/>
-			</rt_info>
+		<layer id="216" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="30473522" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.resnets.1.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -3284,11 +3810,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="170" name="Convolution_1527" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="217" name="vae.decoder.up_blocks.0.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_1527"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="218" name="/decoder/up_blocks.0/resnets.1/conv1/Conv/WithoutBiases" 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>
@@ -3312,10 +3857,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="171" name="Reshape_1547" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="70383964" size="2048"/>
+		<layer id="219" name="Reshape_160482_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35192114" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3323,11 +3868,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="172" name="onnx::Cast_506" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="220" name="Reshape_160482" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1546, Reshape_1547, input.95, onnx::Cast_506"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="221" name="/decoder/up_blocks.0/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3343,7 +3907,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.95,onnx::Cast_506">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3351,22 +3915,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="173" name="onnx::Reshape_508" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_508"/>
-			</rt_info>
+		<layer id="222" name="/decoder/up_blocks.0/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_508">
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="174" name="onnx::InstanceNormalization_509" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_509"/>
-			</rt_info>
+		<layer id="223" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3379,29 +3937,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_509">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="175" name="Constant_1585" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1585"/>
-			</rt_info>
+		<layer id="224" name="Constant_160519" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="176" name="MVN_1586" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1605, Concat_1650, MVN_1586, Multiply_1633, Reshape_1606, Reshape_1651, onnx::Reshape_512"/>
-			</rt_info>
+		<layer id="225" name="MVN_160520" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3413,18 +3965,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_512">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="177" name="onnx::Reshape_513" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_513"/>
-			</rt_info>
+		<layer id="226" name="/decoder/up_blocks.0/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3434,16 +3983,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_513">
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.1/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="178" name="onnx::Mul_514" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_514"/>
-			</rt_info>
+		<layer id="227" name="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3455,7 +4001,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_514">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3463,10 +4009,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="179" name="Constant_11681" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="70386012" size="2048"/>
+		<layer id="228" name="Constant_178918_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35193138" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3474,11 +4020,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="180" name="onnx::Add_517" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="229" name="Constant_178918" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_517"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="230" name="/decoder/up_blocks.0/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3494,7 +4059,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_517">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3502,10 +4067,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="181" name="Constant_11682" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="70388060" size="2048"/>
+		<layer id="231" name="Constant_178919_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="35194162" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="232" name="Constant_178919" 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>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3513,11 +4100,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="182" name="onnx::Cast_520" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.99, onnx::Cast_520"/>
-			</rt_info>
+		<layer id="233" name="/decoder/up_blocks.0/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3533,7 +4117,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.99,onnx::Cast_520">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3541,10 +4125,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="183" name="input.103" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.103, onnx::Mul_522"/>
-			</rt_info>
+		<layer id="234" name="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3554,7 +4135,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.103">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.1/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3562,13 +4143,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="184" name="m.decoder.up_blocks.0.resnets.1.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="70390108" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.resnets.1.conv2.weight"/>
-			</rt_info>
+		<layer id="235" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="35195186" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.resnets.1.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -3576,11 +4154,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="185" name="Convolution_1691" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="236" name="vae.decoder.up_blocks.0.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_1691"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="237" name="/decoder/up_blocks.0/resnets.1/conv2/Conv/WithoutBiases" 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>
@@ -3604,10 +4201,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="186" name="Reshape_1711" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="79827292" size="2048"/>
+		<layer id="238" name="Reshape_160644_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39913778" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3615,11 +4212,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="187" name="onnx::Add_524" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="239" name="Reshape_160644" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1710, Reshape_1711, onnx::Add_524"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="240" name="/decoder/up_blocks.0/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3635,7 +4251,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_524">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3643,11 +4259,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="188" name="onnx::Div_525" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.107, onnx::Cast_527, onnx::Div_525"/>
-			</rt_info>
+		<layer id="241" name="/decoder/up_blocks.0/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3663,7 +4276,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.107,onnx::Cast_527,onnx::Div_525">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.1/Add_output_0,/decoder/up_blocks.0/resnets.1/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3671,22 +4284,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="189" name="onnx::Reshape_529" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_529"/>
-			</rt_info>
+		<layer id="242" name="/decoder/up_blocks.0/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_529">
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="190" name="onnx::InstanceNormalization_530" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_530"/>
-			</rt_info>
+		<layer id="243" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3699,29 +4306,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_530">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="191" name="Constant_1752" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1752"/>
-			</rt_info>
+		<layer id="244" name="Constant_160684" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="192" name="MVN_1753" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1772, Concat_1817, MVN_1753, Multiply_1800, Reshape_1773, Reshape_1818, onnx::Reshape_533"/>
-			</rt_info>
+		<layer id="245" name="MVN_160685" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3733,18 +4334,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_533">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="193" name="onnx::Reshape_534" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_534"/>
-			</rt_info>
+		<layer id="246" name="/decoder/up_blocks.0/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3754,16 +4352,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_534">
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="194" name="onnx::Mul_535" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_535"/>
-			</rt_info>
+		<layer id="247" name="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3775,7 +4370,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_535">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3783,10 +4378,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="195" name="Constant_11683" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="79829340" size="2048"/>
+		<layer id="248" name="Constant_178920_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39914802" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3794,11 +4389,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="196" name="onnx::Add_538" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="249" name="Constant_178920" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_538"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="250" name="/decoder/up_blocks.0/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3814,7 +4428,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_538">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3822,10 +4436,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="197" name="Constant_11684" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="79831388" size="2048"/>
+		<layer id="251" name="Constant_178921_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="39915826" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3833,11 +4447,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="198" name="onnx::Cast_541" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="252" name="Constant_178921" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.111, onnx::Cast_541"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="253" name="/decoder/up_blocks.0/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3853,7 +4486,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.111,onnx::Cast_541">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3861,10 +4494,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="199" name="input.115" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.115, onnx::Mul_543"/>
-			</rt_info>
+		<layer id="254" name="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3874,7 +4504,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.115">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.2/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3882,13 +4512,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="200" name="m.decoder.up_blocks.0.resnets.2.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="79833436" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.resnets.2.conv1.weight"/>
-			</rt_info>
+		<layer id="255" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="39916850" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.resnets.2.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -3896,11 +4523,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="201" name="Convolution_1858" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="256" name="vae.decoder.up_blocks.0.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_1858"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.2.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="257" name="/decoder/up_blocks.0/resnets.2/conv1/Conv/WithoutBiases" 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>
@@ -3924,10 +4570,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="202" name="Reshape_1878" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="89270620" size="2048"/>
+		<layer id="258" name="Reshape_160809_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44635442" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -3935,11 +4581,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="203" name="onnx::Cast_545" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="259" name="Reshape_160809" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1877, Reshape_1878, input.119, onnx::Cast_545"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="260" name="/decoder/up_blocks.0/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3955,7 +4620,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.119,onnx::Cast_545">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -3963,22 +4628,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="204" name="onnx::Reshape_547" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_547"/>
-			</rt_info>
+		<layer id="261" name="/decoder/up_blocks.0/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_547">
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="205" name="onnx::InstanceNormalization_548" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_548"/>
-			</rt_info>
+		<layer id="262" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -3991,29 +4650,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_548">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="206" name="Constant_1916" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_1916"/>
-			</rt_info>
+		<layer id="263" name="Constant_160846" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="207" name="MVN_1917" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_1936, Concat_1981, MVN_1917, Multiply_1964, Reshape_1937, Reshape_1982, onnx::Reshape_551"/>
-			</rt_info>
+		<layer id="264" name="MVN_160847" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4025,18 +4678,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_551">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>65536</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="208" name="onnx::Reshape_552" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_552"/>
-			</rt_info>
+		<layer id="265" name="/decoder/up_blocks.0/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4046,16 +4696,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_552">
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.2/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="209" name="onnx::Mul_553" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_553"/>
-			</rt_info>
+		<layer id="266" name="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4067,7 +4714,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_553">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -4075,10 +4722,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="210" name="Constant_11685" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="89272668" size="2048"/>
+		<layer id="267" name="Constant_178922_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44636466" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4086,11 +4733,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="211" name="onnx::Add_556" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="268" name="Constant_178922" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_556"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="269" name="/decoder/up_blocks.0/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4106,7 +4772,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_556">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -4114,10 +4780,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="212" name="Constant_11686" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="89274716" size="2048"/>
+		<layer id="270" name="Constant_178923_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="44637490" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4125,11 +4791,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="213" name="onnx::Cast_559" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="271" name="Constant_178923" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.123, onnx::Cast_559"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="272" name="/decoder/up_blocks.0/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4145,7 +4830,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.123,onnx::Cast_559">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -4153,10 +4838,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="214" name="input.127" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.127, onnx::Mul_561"/>
-			</rt_info>
+		<layer id="273" name="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4166,7 +4848,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.127">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.0/resnets.2/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -4174,13 +4856,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="215" name="m.decoder.up_blocks.0.resnets.2.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="89276764" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.resnets.2.conv2.weight"/>
-			</rt_info>
+		<layer id="274" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="44638514" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.resnets.2.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -4188,11 +4867,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="216" name="Convolution_2022" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="275" name="vae.decoder.up_blocks.0.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2022"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="276" name="/decoder/up_blocks.0/resnets.2/conv2/Conv/WithoutBiases" 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>
@@ -4216,10 +4914,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="217" name="Reshape_2042" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="98713948" size="2048"/>
+		<layer id="277" name="Reshape_160971_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="49357106" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4227,11 +4925,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="218" name="onnx::Add_563" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="278" name="Reshape_160971" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2041, Reshape_2042, onnx::Add_563"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="279" name="/decoder/up_blocks.0/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4247,7 +4964,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_563">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -4255,11 +4972,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="219" name="onnx::Div_564" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Div_564, x"/>
-			</rt_info>
+		<layer id="280" name="/decoder/up_blocks.0/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4275,7 +4989,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Div_564,x">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.2/Add_output_0,/decoder/up_blocks.0/resnets.2/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>64</dim>
@@ -4283,11 +4997,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="220" name="ShapeOf_2074" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="ShapeOf_2074"/>
-			</rt_info>
+		<layer id="281" name="ShapeOf_161004" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4302,11 +5013,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="221" name="Convert_2075" type="Convert" version="opset1">
-			<data destination_type="f32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Convert_2075"/>
-			</rt_info>
+		<layer id="282" name="Convert_161005" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -4318,22 +5026,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="222" name="onnx::Resize_1021" type="Const" version="opset1">
-			<data element_type="f32" shape="4" offset="98715996" size="16"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Resize_1021"/>
-			</rt_info>
+		<layer id="283" name="/decoder/up_blocks.0/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16" />
 			<output>
-				<port id="0" precision="FP32" names="onnx::Resize_1008,onnx::Resize_1021,onnx::Resize_1034">
+				<port id="0" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Constant_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="223" name="Multiply_2076" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Multiply_2076"/>
-			</rt_info>
+		<layer id="284" name="Multiply_161006" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>4</dim>
@@ -4348,11 +5050,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="224" name="Convert_2077" type="Convert" version="opset1">
-			<data destination_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Convert_2077"/>
-			</rt_info>
+		<layer id="285" name="Convert_161007" type="Convert" version="opset1">
+			<data destination_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>4</dim>
@@ -4364,11 +5063,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="225" name="input.131" type="Interpolate" version="opset4">
-			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.131"/>
-			</rt_info>
+		<layer id="286" name="/decoder/up_blocks.0/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4384,7 +5080,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="input.131">
+				<port id="3" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/Resize_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4392,13 +5088,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="226" name="m.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="98716012" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.0.upsamplers.0.conv.weight"/>
-			</rt_info>
+		<layer id="287" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="49358146" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.0.upsamplers.0.conv.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -4406,11 +5099,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="227" name="Convolution_2079" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="288" name="vae.decoder.up_blocks.0.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2079"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.0.upsamplers.0.conv.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="289" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv/WithoutBiases" 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>
@@ -4432,12 +5144,34 @@
 					<dim>128</dim>
 					<dim>128</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="228" name="Reshape_2099" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="108153196" size="2048"/>
+			</output>
+		</layer>
+		<layer id="290" name="Reshape_161029_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54076738" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="291" name="Reshape_161029" 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>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4445,11 +5179,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="229" name="onnx::Cast_572" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2098, Reshape_2099, input.135, onnx::Cast_572"/>
-			</rt_info>
+		<layer id="292" name="/decoder/up_blocks.0/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4465,7 +5196,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.135,onnx::Cast_572">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/upsamplers.0/conv/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4473,22 +5204,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="230" name="onnx::Reshape_574" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_574"/>
-			</rt_info>
+		<layer id="293" name="/decoder/up_blocks.1/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_574">
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="231" name="onnx::InstanceNormalization_575" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_575"/>
-			</rt_info>
+		<layer id="294" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4501,29 +5226,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_575">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="232" name="Constant_2137" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2137"/>
-			</rt_info>
+		<layer id="295" name="Constant_161066" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="233" name="MVN_2138" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2157, Concat_2202, MVN_2138, Multiply_2185, Reshape_2158, Reshape_2203, onnx::Reshape_578"/>
-			</rt_info>
+		<layer id="296" name="MVN_161067" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4535,18 +5254,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_578">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="234" name="onnx::Reshape_579" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_579"/>
-			</rt_info>
+		<layer id="297" name="/decoder/up_blocks.1/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4556,16 +5272,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_579">
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="235" name="onnx::Mul_580" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_580"/>
-			</rt_info>
+		<layer id="298" name="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4577,7 +5290,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_580">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4585,10 +5298,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="236" name="Constant_11687" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="108155244" size="2048"/>
+		<layer id="299" name="Constant_178924_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54077762" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4596,11 +5309,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="237" name="onnx::Add_583" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="300" name="Constant_178924" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_583"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="301" name="/decoder/up_blocks.1/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4616,7 +5348,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_583">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4624,10 +5356,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="238" name="Constant_11688" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="108157292" size="2048"/>
+		<layer id="302" name="Constant_178925_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="54078786" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4635,11 +5367,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="239" name="onnx::Cast_586" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="303" name="Constant_178925" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.139, onnx::Cast_586"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="304" name="/decoder/up_blocks.1/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4655,7 +5406,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.139,onnx::Cast_586">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4663,10 +5414,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="240" name="input.143" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.143, onnx::Mul_588"/>
-			</rt_info>
+		<layer id="305" name="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4676,7 +5424,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.143">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.0/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4684,13 +5432,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="241" name="m.decoder.up_blocks.1.resnets.0.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="108159340" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.resnets.0.conv1.weight"/>
-			</rt_info>
+		<layer id="306" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="54079810" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.resnets.0.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -4698,11 +5443,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="242" name="Convolution_2243" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="307" name="vae.decoder.up_blocks.1.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2243"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.0.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="308" name="/decoder/up_blocks.1/resnets.0/conv1/Conv/WithoutBiases" 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>
@@ -4726,10 +5490,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="243" name="Reshape_2263" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="117596524" size="2048"/>
+		<layer id="309" name="Reshape_161191_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58798402" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4737,11 +5501,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="244" name="onnx::Cast_590" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="310" name="Reshape_161191" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2262, Reshape_2263, input.147, onnx::Cast_590"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="311" name="/decoder/up_blocks.1/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4757,7 +5540,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.147,onnx::Cast_590">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4765,22 +5548,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="245" name="onnx::Reshape_592" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_592"/>
-			</rt_info>
+		<layer id="312" name="/decoder/up_blocks.1/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_592">
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="246" name="onnx::InstanceNormalization_593" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_593"/>
-			</rt_info>
+		<layer id="313" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4793,29 +5570,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_593">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="247" name="Constant_2301" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2301"/>
-			</rt_info>
+		<layer id="314" name="Constant_161228" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="248" name="MVN_2302" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2321, Concat_2366, MVN_2302, Multiply_2349, Reshape_2322, Reshape_2367, onnx::Reshape_596"/>
-			</rt_info>
+		<layer id="315" name="MVN_161229" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4827,18 +5598,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_596">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="249" name="onnx::Reshape_597" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_597"/>
-			</rt_info>
+		<layer id="316" name="/decoder/up_blocks.1/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4848,16 +5616,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_597">
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.0/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="250" name="onnx::Mul_598" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_598"/>
-			</rt_info>
+		<layer id="317" name="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4869,7 +5634,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_598">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4877,10 +5642,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="251" name="Constant_11689" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="117598572" size="2048"/>
+		<layer id="318" name="Constant_178926_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58799426" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4888,11 +5653,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="252" name="onnx::Add_601" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="319" name="Constant_178926" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_601"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="320" name="/decoder/up_blocks.1/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4908,7 +5692,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_601">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4916,10 +5700,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="253" name="Constant_11690" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="117600620" size="2048"/>
+		<layer id="321" name="Constant_178927_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="58800450" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -4927,11 +5711,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="254" name="onnx::Cast_604" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="322" name="Constant_178927" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.151, onnx::Cast_604"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="323" name="/decoder/up_blocks.1/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4947,7 +5750,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.151,onnx::Cast_604">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4955,10 +5758,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="255" name="input.155" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.155, onnx::Mul_606"/>
-			</rt_info>
+		<layer id="324" name="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -4968,7 +5768,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.155">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.0/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -4976,13 +5776,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="256" name="m.decoder.up_blocks.1.resnets.0.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="117602668" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.resnets.0.conv2.weight"/>
-			</rt_info>
+		<layer id="325" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="58801474" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.resnets.0.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -4990,11 +5787,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="257" name="Convolution_2407" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="326" name="vae.decoder.up_blocks.1.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2407"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.0.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="327" name="/decoder/up_blocks.1/resnets.0/conv2/Conv/WithoutBiases" 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>
@@ -5018,10 +5834,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="258" name="Reshape_2427" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="127039852" size="2048"/>
+		<layer id="328" name="Reshape_161353_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63520066" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5029,11 +5845,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="259" name="onnx::Add_608" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="329" name="Reshape_161353" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2426, Reshape_2427, onnx::Add_608"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="330" name="/decoder/up_blocks.1/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5049,7 +5884,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_608">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5057,11 +5892,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="260" name="onnx::Div_609" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.159, onnx::Cast_611, onnx::Div_609"/>
-			</rt_info>
+		<layer id="331" name="/decoder/up_blocks.1/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5077,7 +5909,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.159,onnx::Cast_611,onnx::Div_609">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.0/Add_output_0,/decoder/up_blocks.1/resnets.0/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5085,22 +5917,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="261" name="onnx::Reshape_613" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_613"/>
-			</rt_info>
+		<layer id="332" name="/decoder/up_blocks.1/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_613">
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="262" name="onnx::InstanceNormalization_614" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_614"/>
-			</rt_info>
+		<layer id="333" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5113,29 +5939,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_614">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="263" name="Constant_2468" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2468"/>
-			</rt_info>
+		<layer id="334" name="Constant_161393" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="264" name="MVN_2469" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2488, Concat_2533, MVN_2469, Multiply_2516, Reshape_2489, Reshape_2534, onnx::Reshape_617"/>
-			</rt_info>
+		<layer id="335" name="MVN_161394" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5147,18 +5967,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_617">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="265" name="onnx::Reshape_618" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_618"/>
-			</rt_info>
+		<layer id="336" name="/decoder/up_blocks.1/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5168,16 +5985,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_618">
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="266" name="onnx::Mul_619" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_619"/>
-			</rt_info>
+		<layer id="337" name="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5189,7 +6003,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_619">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5197,10 +6011,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="267" name="Constant_11691" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="127041900" size="2048"/>
+		<layer id="338" name="Constant_178928_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63521090" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5208,11 +6022,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="268" name="onnx::Add_622" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="339" name="Constant_178928" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_622"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="340" name="/decoder/up_blocks.1/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5228,7 +6061,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_622">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5236,10 +6069,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="269" name="Constant_11692" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="127043948" size="2048"/>
+		<layer id="341" name="Constant_178929_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="63522114" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5247,11 +6080,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="270" name="onnx::Cast_625" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="342" name="Constant_178929" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.163, onnx::Cast_625"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="343" name="/decoder/up_blocks.1/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5267,7 +6119,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.163,onnx::Cast_625">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5275,10 +6127,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="271" name="input.167" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.167, onnx::Mul_627"/>
-			</rt_info>
+		<layer id="344" name="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5288,7 +6137,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.167">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.1/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5296,13 +6145,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="272" name="m.decoder.up_blocks.1.resnets.1.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="127045996" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.resnets.1.conv1.weight"/>
-			</rt_info>
+		<layer id="345" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="63523138" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.resnets.1.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -5310,11 +6156,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="273" name="Convolution_2574" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="346" name="vae.decoder.up_blocks.1.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2574"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.1.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="347" name="/decoder/up_blocks.1/resnets.1/conv1/Conv/WithoutBiases" 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>
@@ -5336,12 +6201,34 @@
 					<dim>128</dim>
 					<dim>128</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="274" name="Reshape_2594" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="136483180" size="2048"/>
+			</output>
+		</layer>
+		<layer id="348" name="Reshape_161518_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68241730" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="349" name="Reshape_161518" 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>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5349,11 +6236,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="275" name="onnx::Cast_629" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2593, Reshape_2594, input.171, onnx::Cast_629"/>
-			</rt_info>
+		<layer id="350" name="/decoder/up_blocks.1/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5369,7 +6253,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.171,onnx::Cast_629">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5377,22 +6261,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="276" name="onnx::Reshape_631" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_631"/>
-			</rt_info>
+		<layer id="351" name="/decoder/up_blocks.1/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_631">
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="277" name="onnx::InstanceNormalization_632" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_632"/>
-			</rt_info>
+		<layer id="352" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5405,29 +6283,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_632">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="278" name="Constant_2632" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2632"/>
-			</rt_info>
+		<layer id="353" name="Constant_161555" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="279" name="MVN_2633" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2652, Concat_2697, MVN_2633, Multiply_2680, Reshape_2653, Reshape_2698, onnx::Reshape_635"/>
-			</rt_info>
+		<layer id="354" name="MVN_161556" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5439,18 +6311,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_635">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="280" name="onnx::Reshape_636" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_636"/>
-			</rt_info>
+		<layer id="355" name="/decoder/up_blocks.1/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5460,16 +6329,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_636">
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.1/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="281" name="onnx::Mul_637" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_637"/>
-			</rt_info>
+		<layer id="356" name="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5481,7 +6347,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_637">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5489,10 +6355,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="282" name="Constant_11693" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="136485228" size="2048"/>
+		<layer id="357" name="Constant_178930_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68242754" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5500,11 +6366,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="283" name="onnx::Add_640" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="358" name="Constant_178930" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_640"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="359" name="/decoder/up_blocks.1/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5520,7 +6405,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_640">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5528,10 +6413,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="284" name="Constant_11694" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="136487276" size="2048"/>
+		<layer id="360" name="Constant_178931_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="68243778" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5539,11 +6424,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="285" name="onnx::Cast_643" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="361" name="Constant_178931" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.175, onnx::Cast_643"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="362" name="/decoder/up_blocks.1/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5559,7 +6463,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.175,onnx::Cast_643">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5567,10 +6471,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="286" name="input.179" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.179, onnx::Mul_645"/>
-			</rt_info>
+		<layer id="363" name="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5580,7 +6481,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.179">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.1/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5588,13 +6489,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="287" name="m.decoder.up_blocks.1.resnets.1.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="136489324" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.resnets.1.conv2.weight"/>
-			</rt_info>
+		<layer id="364" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="68244802" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.resnets.1.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -5602,11 +6500,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="288" name="Convolution_2738" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="365" name="vae.decoder.up_blocks.1.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2738"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.1.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="366" name="/decoder/up_blocks.1/resnets.1/conv2/Conv/WithoutBiases" 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>
@@ -5630,10 +6547,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="289" name="Reshape_2758" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="145926508" size="2048"/>
+		<layer id="367" name="Reshape_161680_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72963394" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5641,11 +6558,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="290" name="onnx::Add_647" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="368" name="Reshape_161680" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2757, Reshape_2758, onnx::Add_647"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="369" name="/decoder/up_blocks.1/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5661,7 +6597,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_647">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5669,11 +6605,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="291" name="onnx::Div_648" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.183, onnx::Cast_650, onnx::Div_648"/>
-			</rt_info>
+		<layer id="370" name="/decoder/up_blocks.1/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5689,7 +6622,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.183,onnx::Cast_650,onnx::Div_648">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.1/Add_output_0,/decoder/up_blocks.1/resnets.1/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5697,22 +6630,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="292" name="onnx::Reshape_652" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_652"/>
-			</rt_info>
+		<layer id="371" name="/decoder/up_blocks.1/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_652">
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="293" name="onnx::InstanceNormalization_653" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_653"/>
-			</rt_info>
+		<layer id="372" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5725,29 +6652,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_653">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="294" name="Constant_2799" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2799"/>
-			</rt_info>
+		<layer id="373" name="Constant_161720" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="295" name="MVN_2800" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2819, Concat_2864, MVN_2800, Multiply_2847, Reshape_2820, Reshape_2865, onnx::Reshape_656"/>
-			</rt_info>
+		<layer id="374" name="MVN_161721" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5759,18 +6680,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_656">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="296" name="onnx::Reshape_657" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_657"/>
-			</rt_info>
+		<layer id="375" name="/decoder/up_blocks.1/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5780,16 +6698,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_657">
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="297" name="onnx::Mul_658" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_658"/>
-			</rt_info>
+		<layer id="376" name="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5801,7 +6716,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_658">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5809,10 +6724,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="298" name="Constant_11695" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="145928556" size="2048"/>
+		<layer id="377" name="Constant_178932_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72964418" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5820,11 +6735,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="299" name="onnx::Add_661" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="378" name="Constant_178932" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_661"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="379" name="/decoder/up_blocks.1/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5840,7 +6774,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_661">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5848,10 +6782,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="300" name="Constant_11696" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="145930604" size="2048"/>
+		<layer id="380" name="Constant_178933_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="72965442" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5859,11 +6793,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="301" name="onnx::Cast_664" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="381" name="Constant_178933" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.187, onnx::Cast_664"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="382" name="/decoder/up_blocks.1/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5879,7 +6832,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.187,onnx::Cast_664">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5887,10 +6840,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="302" name="input.191" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.191, onnx::Mul_666"/>
-			</rt_info>
+		<layer id="383" name="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5900,7 +6850,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.191">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.2/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5908,13 +6858,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="303" name="m.decoder.up_blocks.1.resnets.2.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="145932652" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.resnets.2.conv1.weight"/>
-			</rt_info>
+		<layer id="384" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="72966466" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.resnets.2.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -5922,11 +6869,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="304" name="Convolution_2905" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="385" name="vae.decoder.up_blocks.1.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_2905"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.2.conv1.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="386" name="/decoder/up_blocks.1/resnets.2/conv1/Conv/WithoutBiases" 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>
@@ -5950,10 +6916,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="305" name="Reshape_2925" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="155369836" size="2048"/>
+		<layer id="387" name="Reshape_161845_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77685058" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -5961,11 +6927,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="306" name="onnx::Cast_668" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="388" name="Reshape_161845" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2924, Reshape_2925, input.195, onnx::Cast_668"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="389" name="/decoder/up_blocks.1/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -5981,7 +6966,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.195,onnx::Cast_668">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -5989,22 +6974,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="307" name="onnx::Reshape_670" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_670"/>
-			</rt_info>
+		<layer id="390" name="/decoder/up_blocks.1/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_670">
+				<port id="0" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="308" name="onnx::InstanceNormalization_671" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_671"/>
-			</rt_info>
+		<layer id="391" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6017,29 +6996,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_671">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="309" name="Constant_2963" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_2963"/>
-			</rt_info>
+		<layer id="392" name="Constant_161882" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="310" name="MVN_2964" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_2983, Concat_3028, MVN_2964, Multiply_3011, Reshape_2984, Reshape_3029, onnx::Reshape_674"/>
-			</rt_info>
+		<layer id="393" name="MVN_161883" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6051,18 +7024,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_674">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>262144</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="311" name="onnx::Reshape_675" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_675"/>
-			</rt_info>
+		<layer id="394" name="/decoder/up_blocks.1/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6072,16 +7042,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_675">
+				<port id="1" precision="I64" names="/decoder/up_blocks.1/resnets.2/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="312" name="onnx::Mul_676" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_676"/>
-			</rt_info>
+		<layer id="395" name="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6093,7 +7060,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_676">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -6101,10 +7068,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="313" name="Constant_11697" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="155371884" size="2048"/>
+		<layer id="396" name="Constant_178934_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77686082" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6112,11 +7079,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="314" name="onnx::Add_679" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="397" name="Constant_178934" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_679"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="398" name="/decoder/up_blocks.1/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6132,7 +7118,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_679">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -6140,10 +7126,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="315" name="Constant_11698" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="155373932" size="2048"/>
+		<layer id="399" name="Constant_178935_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="77687106" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6151,11 +7137,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="316" name="onnx::Cast_682" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="400" name="Constant_178935" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.199, onnx::Cast_682"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="401" name="/decoder/up_blocks.1/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6171,7 +7176,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.199,onnx::Cast_682">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -6179,10 +7184,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="317" name="input.203" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.203, onnx::Mul_684"/>
-			</rt_info>
+		<layer id="402" name="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6192,7 +7194,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.203">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.1/resnets.2/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -6200,13 +7202,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="318" name="m.decoder.up_blocks.1.resnets.2.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="155375980" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.resnets.2.conv2.weight"/>
-			</rt_info>
+		<layer id="403" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="77688130" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.resnets.2.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -6214,11 +7213,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="319" name="Convolution_3069" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="404" name="vae.decoder.up_blocks.1.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3069"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.resnets.2.conv2.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="405" name="/decoder/up_blocks.1/resnets.2/conv2/Conv/WithoutBiases" 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>
@@ -6240,12 +7258,34 @@
 					<dim>128</dim>
 					<dim>128</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="320" name="Reshape_3089" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="164813164" size="2048"/>
+			</output>
+		</layer>
+		<layer id="406" name="Reshape_162007_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="82406722" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="407" name="Reshape_162007" 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>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6253,11 +7293,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="321" name="onnx::Add_686" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3088, Reshape_3089, onnx::Add_686"/>
-			</rt_info>
+		<layer id="408" name="/decoder/up_blocks.1/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6273,7 +7310,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_686">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -6281,11 +7318,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="322" name="onnx::Div_687" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Div_687, x.3"/>
-			</rt_info>
+		<layer id="409" name="/decoder/up_blocks.1/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6301,7 +7335,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Div_687,x.3">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/resnets.2/Add_output_0,/decoder/up_blocks.1/resnets.2/Div_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>128</dim>
@@ -6309,11 +7343,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="323" name="ShapeOf_3121" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="ShapeOf_3121"/>
-			</rt_info>
+		<layer id="410" name="ShapeOf_162040" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6328,11 +7359,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="324" name="Convert_3122" type="Convert" version="opset1">
-			<data destination_type="f32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Convert_3122"/>
-			</rt_info>
+		<layer id="411" name="Convert_162041" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -6344,11 +7372,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="325" name="Multiply_3123" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Multiply_3123"/>
-			</rt_info>
+		<layer id="412" name="/decoder/up_blocks.1/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16" />
+			<output>
+				<port id="0" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="413" name="Multiply_162042" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>4</dim>
@@ -6363,11 +7396,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="326" name="Convert_3124" type="Convert" version="opset1">
-			<data destination_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Convert_3124"/>
-			</rt_info>
+		<layer id="414" name="Convert_162043" type="Convert" version="opset1">
+			<data destination_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>4</dim>
@@ -6379,11 +7409,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="327" name="input.207" type="Interpolate" version="opset4">
-			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.207"/>
-			</rt_info>
+		<layer id="415" name="/decoder/up_blocks.1/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6399,7 +7426,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="input.207">
+				<port id="3" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/Resize_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -6407,13 +7434,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="328" name="m.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="512, 512, 3, 3" offset="164815212" size="9437184"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.1.upsamplers.0.conv.weight"/>
-			</rt_info>
+		<layer id="416" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="82407746" size="4718592" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.1.upsamplers.0.conv.weight">
+				<port id="0" precision="FP16">
 					<dim>512</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -6421,11 +7445,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="329" name="Convolution_3126" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="417" name="vae.decoder.up_blocks.1.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3126"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.1.upsamplers.0.conv.weight">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="418" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv/WithoutBiases" 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>
@@ -6449,10 +7492,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="330" name="Reshape_3146" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="174252396" size="2048"/>
+		<layer id="419" name="Reshape_162065_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87126338" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6460,11 +7503,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="331" name="onnx::Cast_695" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="420" name="Reshape_162065" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3145, Reshape_3146, input.211, onnx::Cast_695"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="421" name="/decoder/up_blocks.1/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6480,7 +7542,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.211,onnx::Cast_695">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.1/upsamplers.0/conv/Conv_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -6488,13 +7550,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="332" name="m.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 512, 1, 1" offset="174254444" size="524288"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.0.conv_shortcut.weight"/>
-			</rt_info>
+		<layer id="422" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 1, 1" offset="87127362" size="262144" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6502,11 +7561,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="333" name="Convolution_3502" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+		<layer id="423" name="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3502"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.0.conv_shortcut.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="424" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6530,10 +7608,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="334" name="Reshape_3522" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="174778732" size="1024"/>
+		<layer id="425" name="Reshape_162437_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="87389506" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -6541,11 +7619,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="335" name="onnx::Add_732" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="426" name="Reshape_162437" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3521, Reshape_3522, onnx::Add_732"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="427" name="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6561,7 +7658,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_732">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/conv_shortcut/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -6569,22 +7666,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="336" name="onnx::Reshape_697" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_697"/>
-			</rt_info>
+		<layer id="428" name="/decoder/up_blocks.2/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_697">
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="337" name="onnx::InstanceNormalization_698" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_698"/>
-			</rt_info>
+		<layer id="429" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6597,29 +7688,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_698">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="338" name="Constant_3184" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_3184"/>
-			</rt_info>
+		<layer id="430" name="Constant_162102" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="339" name="MVN_3185" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3204, Concat_3249, MVN_3185, Multiply_3232, Reshape_3205, Reshape_3250, onnx::Reshape_701"/>
-			</rt_info>
+		<layer id="431" name="MVN_162103" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6631,18 +7716,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_701">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="340" name="onnx::Reshape_702" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_702"/>
-			</rt_info>
+		<layer id="432" name="/decoder/up_blocks.2/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6652,16 +7734,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_702">
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="341" name="onnx::Mul_703" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_703"/>
-			</rt_info>
+		<layer id="433" name="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6673,7 +7752,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_703">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -6681,10 +7760,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="342" name="Constant_11699" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="174779756" size="2048"/>
+		<layer id="434" name="Constant_178936_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87390018" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6692,11 +7771,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="343" name="onnx::Add_706" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="435" name="Constant_178936" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_706"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="436" name="/decoder/up_blocks.2/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6712,7 +7810,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_706">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -6720,10 +7818,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="344" name="Constant_11700" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 512, 1, 1" offset="174781804" size="2048"/>
+		<layer id="437" name="Constant_178937_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="87391042" size="1024" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>1</dim>
@@ -6731,11 +7829,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="345" name="onnx::Cast_709" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="438" name="Constant_178937" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.215, onnx::Cast_709"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="439" name="/decoder/up_blocks.2/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6751,7 +7868,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.215,onnx::Cast_709">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -6759,10 +7876,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="346" name="input.219" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.219, onnx::Mul_711"/>
-			</rt_info>
+		<layer id="440" name="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6772,7 +7886,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.219">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.0/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>512</dim>
 					<dim>256</dim>
@@ -6780,13 +7894,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="347" name="m.decoder.up_blocks.2.resnets.0.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 512, 3, 3" offset="174783852" size="4718592"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.0.conv1.weight"/>
-			</rt_info>
+		<layer id="441" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 512, 3, 3" offset="87392066" size="2359296" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.0.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>512</dim>
 					<dim>3</dim>
@@ -6794,11 +7905,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="348" name="Convolution_3290" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="442" name="vae.decoder.up_blocks.2.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3290"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.0.conv1.weight">
+					<dim>256</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="443" name="/decoder/up_blocks.2/resnets.0/conv1/Conv/WithoutBiases" 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>
@@ -6822,10 +7952,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="349" name="Reshape_3310" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="179502444" size="1024"/>
+		<layer id="444" name="Reshape_162227_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751362" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -6833,11 +7963,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="350" name="onnx::Cast_713" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="445" name="Reshape_162227" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3309, Reshape_3310, input.223, onnx::Cast_713"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="446" name="/decoder/up_blocks.2/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6853,7 +8002,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.223,onnx::Cast_713">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -6861,22 +8010,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="351" name="onnx::Reshape_715" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_715"/>
-			</rt_info>
+		<layer id="447" name="/decoder/up_blocks.2/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_715">
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="352" name="onnx::InstanceNormalization_716" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_716"/>
-			</rt_info>
+		<layer id="448" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6889,29 +8032,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_716">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="353" name="Constant_3348" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_3348"/>
-			</rt_info>
+		<layer id="449" name="Constant_162264" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="354" name="MVN_3349" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3368, Concat_3413, MVN_3349, Multiply_3396, Reshape_3369, Reshape_3414, onnx::Reshape_719"/>
-			</rt_info>
+		<layer id="450" name="MVN_162265" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6923,18 +8060,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_719">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="355" name="onnx::Reshape_720" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_720"/>
-			</rt_info>
+		<layer id="451" name="/decoder/up_blocks.2/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6944,16 +8078,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_720">
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.0/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="356" name="onnx::Mul_721" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_721"/>
-			</rt_info>
+		<layer id="452" name="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -6965,7 +8096,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_721">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -6973,10 +8104,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="357" name="Constant_11701" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="179503468" size="1024"/>
+		<layer id="453" name="Constant_178938_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89751874" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -6984,11 +8115,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="358" name="onnx::Add_724" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="454" name="Constant_178938" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_724"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="455" name="/decoder/up_blocks.2/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7004,7 +8154,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_724">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7012,10 +8162,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="359" name="Constant_11702" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="179504492" size="1024"/>
+		<layer id="456" name="Constant_178939_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="89752386" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7023,11 +8173,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="360" name="onnx::Cast_727" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="457" name="Constant_178939" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.227, onnx::Cast_727"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="458" name="/decoder/up_blocks.2/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7043,7 +8212,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.227,onnx::Cast_727">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7051,10 +8220,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="361" name="input.231" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.231, onnx::Mul_729"/>
-			</rt_info>
+		<layer id="459" name="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7064,7 +8230,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.231">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.0/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7072,13 +8238,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="362" name="m.decoder.up_blocks.2.resnets.0.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 256, 3, 3" offset="179505516" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.0.conv2.weight"/>
-			</rt_info>
+		<layer id="460" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="89752898" size="1179648" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.0.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -7086,11 +8249,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="363" name="Convolution_3454" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="461" name="vae.decoder.up_blocks.2.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3454"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.0.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="462" name="/decoder/up_blocks.2/resnets.0/conv2/Conv/WithoutBiases" 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>
@@ -7114,10 +8296,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="364" name="Reshape_3474" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="181864812" size="1024"/>
+		<layer id="463" name="Reshape_162389_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90932546" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="464" name="Reshape_162389" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7125,11 +8329,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="365" name="onnx::Add_731" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3473, Reshape_3474, onnx::Add_731"/>
-			</rt_info>
+		<layer id="465" name="/decoder/up_blocks.2/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7145,7 +8346,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_731">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7153,11 +8354,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="366" name="onnx::Div_733" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.235, onnx::Cast_735, onnx::Div_733"/>
-			</rt_info>
+		<layer id="466" name="/decoder/up_blocks.2/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7173,7 +8371,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.235,onnx::Cast_735,onnx::Div_733">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.0/Add_output_0,/decoder/up_blocks.2/resnets.0/Div_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7181,22 +8379,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="367" name="onnx::Reshape_737" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_737"/>
-			</rt_info>
+		<layer id="467" name="/decoder/up_blocks.2/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_737">
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="368" name="onnx::InstanceNormalization_738" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_738"/>
-			</rt_info>
+		<layer id="468" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7209,29 +8401,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_738">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="369" name="Constant_3563" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_3563"/>
-			</rt_info>
+		<layer id="469" name="Constant_162477" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="370" name="MVN_3564" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3583, Concat_3628, MVN_3564, Multiply_3611, Reshape_3584, Reshape_3629, onnx::Reshape_741"/>
-			</rt_info>
+		<layer id="470" name="MVN_162478" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7243,18 +8429,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_741">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="371" name="onnx::Reshape_742" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_742"/>
-			</rt_info>
+		<layer id="471" name="/decoder/up_blocks.2/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7264,16 +8447,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_742">
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="372" name="onnx::Mul_743" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_743"/>
-			</rt_info>
+		<layer id="472" name="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7285,7 +8465,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_743">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7293,10 +8473,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="373" name="Constant_11703" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="181865836" size="1024"/>
+		<layer id="473" name="Constant_178940_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90933058" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7304,11 +8484,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="374" name="onnx::Add_746" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="474" name="Constant_178940" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_746"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="475" name="/decoder/up_blocks.2/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7324,7 +8523,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_746">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7332,10 +8531,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="375" name="Constant_11704" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="181866860" size="1024"/>
+		<layer id="476" name="Constant_178941_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="90933570" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7343,11 +8542,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="376" name="onnx::Cast_749" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="477" name="Constant_178941" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.239, onnx::Cast_749"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="478" name="/decoder/up_blocks.2/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7363,7 +8581,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.239,onnx::Cast_749">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7371,10 +8589,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="377" name="input.243" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.243, onnx::Mul_751"/>
-			</rt_info>
+		<layer id="479" name="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7384,7 +8599,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.243">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.1/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7392,13 +8607,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="378" name="m.decoder.up_blocks.2.resnets.1.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 256, 3, 3" offset="181867884" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.1.conv1.weight"/>
-			</rt_info>
+		<layer id="480" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="90934082" size="1179648" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.1.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -7406,11 +8618,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="379" name="Convolution_3669" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="481" name="vae.decoder.up_blocks.2.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3669"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.1.conv1.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="482" name="/decoder/up_blocks.2/resnets.1/conv1/Conv/WithoutBiases" 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>
@@ -7434,10 +8665,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="380" name="Reshape_3689" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="184227180" size="1024"/>
+		<layer id="483" name="Reshape_162602_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92113730" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7445,11 +8676,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="381" name="onnx::Cast_753" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="484" name="Reshape_162602" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3688, Reshape_3689, input.247, onnx::Cast_753"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="485" name="/decoder/up_blocks.2/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7465,7 +8715,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.247,onnx::Cast_753">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7473,22 +8723,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="382" name="onnx::Reshape_755" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_755"/>
-			</rt_info>
+		<layer id="486" name="/decoder/up_blocks.2/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_755">
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="383" name="onnx::InstanceNormalization_756" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_756"/>
-			</rt_info>
+		<layer id="487" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7501,29 +8745,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_756">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="384" name="Constant_3727" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_3727"/>
-			</rt_info>
+		<layer id="488" name="Constant_162639" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="385" name="MVN_3728" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3747, Concat_3792, MVN_3728, Multiply_3775, Reshape_3748, Reshape_3793, onnx::Reshape_759"/>
-			</rt_info>
+		<layer id="489" name="MVN_162640" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7535,18 +8773,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_759">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="386" name="onnx::Reshape_760" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_760"/>
-			</rt_info>
+		<layer id="490" name="/decoder/up_blocks.2/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7556,16 +8791,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_760">
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.1/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="387" name="onnx::Mul_761" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_761"/>
-			</rt_info>
+		<layer id="491" name="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7577,7 +8809,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_761">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7585,10 +8817,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="388" name="Constant_11705" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="184228204" size="1024"/>
+		<layer id="492" name="Constant_178942_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92114242" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7596,11 +8828,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="389" name="onnx::Add_764" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="493" name="Constant_178942" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_764"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="494" name="/decoder/up_blocks.2/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7616,7 +8867,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_764">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7624,10 +8875,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="390" name="Constant_11706" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="184229228" size="1024"/>
+		<layer id="495" name="Constant_178943_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="92114754" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7635,11 +8886,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="391" name="onnx::Cast_767" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="496" name="Constant_178943" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.251, onnx::Cast_767"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="497" name="/decoder/up_blocks.2/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7655,7 +8925,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.251,onnx::Cast_767">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7663,10 +8933,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="392" name="input.255" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.255, onnx::Mul_769"/>
-			</rt_info>
+		<layer id="498" name="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7676,7 +8943,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.255">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.1/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7684,13 +8951,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="393" name="m.decoder.up_blocks.2.resnets.1.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 256, 3, 3" offset="184230252" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.1.conv2.weight"/>
-			</rt_info>
+		<layer id="499" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="92115266" size="1179648" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.1.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -7698,11 +8962,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="394" name="Convolution_3833" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="500" name="vae.decoder.up_blocks.2.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_3833"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.1.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="501" name="/decoder/up_blocks.2/resnets.1/conv2/Conv/WithoutBiases" 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>
@@ -7726,10 +9009,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="395" name="Reshape_3853" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="186589548" size="1024"/>
+		<layer id="502" name="Reshape_162764_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93294914" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7737,11 +9020,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="396" name="onnx::Add_771" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="503" name="Reshape_162764" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3852, Reshape_3853, onnx::Add_771"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="504" name="/decoder/up_blocks.2/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7757,7 +9059,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_771">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7765,11 +9067,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="397" name="onnx::Div_772" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.259, onnx::Cast_774, onnx::Div_772"/>
-			</rt_info>
+		<layer id="505" name="/decoder/up_blocks.2/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7785,7 +9084,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.259,onnx::Cast_774,onnx::Div_772">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.1/Add_output_0,/decoder/up_blocks.2/resnets.1/Div_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7793,22 +9092,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="398" name="onnx::Reshape_776" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_776"/>
-			</rt_info>
+		<layer id="506" name="/decoder/up_blocks.2/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_776">
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="399" name="onnx::InstanceNormalization_777" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_777"/>
-			</rt_info>
+		<layer id="507" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7821,29 +9114,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_777">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="400" name="Constant_3894" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_3894"/>
-			</rt_info>
+		<layer id="508" name="Constant_162804" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="401" name="MVN_3895" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_3914, Concat_3959, MVN_3895, Multiply_3942, Reshape_3915, Reshape_3960, onnx::Reshape_780"/>
-			</rt_info>
+		<layer id="509" name="MVN_162805" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7855,18 +9142,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_780">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="402" name="onnx::Reshape_781" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_781"/>
-			</rt_info>
+		<layer id="510" name="/decoder/up_blocks.2/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7876,16 +9160,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_781">
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="403" name="onnx::Mul_782" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_782"/>
-			</rt_info>
+		<layer id="511" name="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7897,7 +9178,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_782">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7905,10 +9186,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="404" name="Constant_11707" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="186590572" size="1024"/>
+		<layer id="512" name="Constant_178944_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93295426" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7916,11 +9197,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="405" name="onnx::Add_785" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="513" name="Constant_178944" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_785"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="514" name="/decoder/up_blocks.2/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7936,7 +9236,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_785">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7944,10 +9244,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="406" name="Constant_11708" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="186591596" size="1024"/>
+		<layer id="515" name="Constant_178945_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="93295938" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -7955,11 +9255,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="407" name="onnx::Cast_788" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="516" name="Constant_178945" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.263, onnx::Cast_788"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="517" name="/decoder/up_blocks.2/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7975,7 +9294,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.263,onnx::Cast_788">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -7983,10 +9302,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="408" name="input.267" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.267, onnx::Mul_790"/>
-			</rt_info>
+		<layer id="518" name="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -7996,7 +9312,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.267">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.2/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8004,13 +9320,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="409" name="m.decoder.up_blocks.2.resnets.2.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 256, 3, 3" offset="186592620" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.2.conv1.weight"/>
-			</rt_info>
+		<layer id="519" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="93296450" size="1179648" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.2.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -8018,11 +9331,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="410" name="Convolution_4000" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="520" name="vae.decoder.up_blocks.2.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4000"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.2.conv1.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="521" name="/decoder/up_blocks.2/resnets.2/conv1/Conv/WithoutBiases" 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>
@@ -8044,12 +9376,34 @@
 					<dim>256</dim>
 					<dim>256</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="411" name="Reshape_4020" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="188951916" size="1024"/>
+			</output>
+		</layer>
+		<layer id="522" name="Reshape_162929_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94476098" size="512" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="523" name="Reshape_162929" 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>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8057,11 +9411,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="412" name="onnx::Cast_792" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4019, Reshape_4020, input.271, onnx::Cast_792"/>
-			</rt_info>
+		<layer id="524" name="/decoder/up_blocks.2/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8077,7 +9428,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.271,onnx::Cast_792">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8085,22 +9436,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="413" name="onnx::Reshape_794" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_794"/>
-			</rt_info>
+		<layer id="525" name="/decoder/up_blocks.2/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_794">
+				<port id="0" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="414" name="onnx::InstanceNormalization_795" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_795"/>
-			</rt_info>
+		<layer id="526" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8113,29 +9458,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_795">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="415" name="Constant_4058" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_4058"/>
-			</rt_info>
+		<layer id="527" name="Constant_162966" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="416" name="MVN_4059" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4078, Concat_4123, MVN_4059, Multiply_4106, Reshape_4079, Reshape_4124, onnx::Reshape_798"/>
-			</rt_info>
+		<layer id="528" name="MVN_162967" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8147,18 +9486,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_798">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>524288</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="417" name="onnx::Reshape_799" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_799"/>
-			</rt_info>
+		<layer id="529" name="/decoder/up_blocks.2/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8168,16 +9504,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_799">
+				<port id="1" precision="I64" names="/decoder/up_blocks.2/resnets.2/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="418" name="onnx::Mul_800" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_800"/>
-			</rt_info>
+		<layer id="530" name="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8189,7 +9522,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_800">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8197,10 +9530,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="419" name="Constant_11709" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="188952940" size="1024"/>
+		<layer id="531" name="Constant_178946_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94476610" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8208,11 +9541,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="420" name="onnx::Add_803" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="532" name="Constant_178946" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_803"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="533" name="/decoder/up_blocks.2/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8228,7 +9580,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_803">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8236,10 +9588,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="421" name="Constant_11710" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="188953964" size="1024"/>
+		<layer id="534" name="Constant_178947_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="94477122" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8247,11 +9599,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="422" name="onnx::Cast_806" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="535" name="Constant_178947" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.275, onnx::Cast_806"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="536" name="/decoder/up_blocks.2/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8267,7 +9638,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.275,onnx::Cast_806">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8275,10 +9646,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="423" name="input.279" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.279, onnx::Mul_808"/>
-			</rt_info>
+		<layer id="537" name="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8288,7 +9656,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.279">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.2/resnets.2/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8296,13 +9664,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="424" name="m.decoder.up_blocks.2.resnets.2.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 256, 3, 3" offset="188954988" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.resnets.2.conv2.weight"/>
-			</rt_info>
+		<layer id="538" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="94477634" size="1179648" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.resnets.2.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -8310,11 +9675,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="425" name="Convolution_4164" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="539" name="vae.decoder.up_blocks.2.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4164"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.resnets.2.conv2.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="540" name="/decoder/up_blocks.2/resnets.2/conv2/Conv/WithoutBiases" 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>
@@ -8338,10 +9722,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="426" name="Reshape_4184" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="191314284" size="1024"/>
+		<layer id="541" name="Reshape_163091_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="95657282" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8349,11 +9733,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="427" name="onnx::Add_810" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="542" name="Reshape_163091" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4183, Reshape_4184, onnx::Add_810"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="543" name="/decoder/up_blocks.2/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8369,7 +9772,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_810">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8377,11 +9780,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="428" name="onnx::Div_811" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Div_811, x.7"/>
-			</rt_info>
+		<layer id="544" name="/decoder/up_blocks.2/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8397,7 +9797,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Div_811,x.7">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/resnets.2/Add_output_0,/decoder/up_blocks.2/resnets.2/Div_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>256</dim>
@@ -8405,11 +9805,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="429" name="ShapeOf_4216" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="ShapeOf_4216"/>
-			</rt_info>
+		<layer id="545" name="ShapeOf_163124" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8424,11 +9821,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="430" name="Convert_4217" type="Convert" version="opset1">
-			<data destination_type="f32"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Convert_4217"/>
-			</rt_info>
+		<layer id="546" name="Convert_163125" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<input>
 				<port id="0" precision="I64">
 					<dim>4</dim>
@@ -8440,11 +9834,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="431" name="Multiply_4218" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Multiply_4218"/>
-			</rt_info>
+		<layer id="547" name="/decoder/up_blocks.2/upsamplers.0/Constant" type="Const" version="opset1">
+			<data element_type="f32" shape="4" offset="49358130" size="16" />
+			<output>
+				<port id="0" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Constant_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="548" name="Multiply_163126" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>4</dim>
@@ -8459,11 +9858,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="432" name="Convert_4219" type="Convert" version="opset1">
-			<data destination_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Convert_4219"/>
-			</rt_info>
+		<layer id="549" name="Convert_163127" type="Convert" version="opset1">
+			<data destination_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>4</dim>
@@ -8475,11 +9871,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="433" name="input.283" type="Interpolate" version="opset4">
-			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.283"/>
-			</rt_info>
+		<layer id="550" name="/decoder/up_blocks.2/upsamplers.0/Resize" type="Interpolate" version="opset4">
+			<data mode="nearest" shape_calculation_mode="scales" coordinate_transformation_mode="asymmetric" nearest_mode="floor" antialias="false" pads_begin="0, 0, 0, 0" pads_end="0, 0, 0, 0" cube_coeff="-0.75" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8495,7 +9888,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="3" precision="FP32" names="input.283">
+				<port id="3" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/Resize_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -8503,13 +9896,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="434" name="m.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="256, 256, 3, 3" offset="191315308" size="2359296"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.2.upsamplers.0.conv.weight"/>
-			</rt_info>
+		<layer id="551" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="256, 256, 3, 3" offset="95657794" size="1179648" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.2.upsamplers.0.conv.weight">
+				<port id="0" precision="FP16">
 					<dim>256</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -8517,11 +9907,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="435" name="Convolution_4221" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="552" name="vae.decoder.up_blocks.2.upsamplers.0.conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4221"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.2.upsamplers.0.conv.weight">
+					<dim>256</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="553" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv/WithoutBiases" 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>
@@ -8545,10 +9954,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="436" name="Reshape_4241" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="193674604" size="1024"/>
+		<layer id="554" name="Reshape_163149_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96837442" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8556,11 +9965,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="437" name="onnx::Cast_819" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="555" name="Reshape_163149" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4240, Reshape_4241, input.287, onnx::Cast_819"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="556" name="/decoder/up_blocks.2/upsamplers.0/conv/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8576,7 +10004,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.287,onnx::Cast_819">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.2/upsamplers.0/conv/Conv_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -8584,13 +10012,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="438" name="m.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 256, 1, 1" offset="193675628" size="131072"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.0.conv_shortcut.weight"/>
-			</rt_info>
+		<layer id="557" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 1, 1" offset="96837954" size="65536" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8598,11 +10023,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="439" name="Convolution_4597" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit"/>
+		<layer id="558" name="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4597"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.0.conv_shortcut.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="559" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv/WithoutBiases" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8626,10 +10070,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="440" name="Reshape_4617" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="193806700" size="512"/>
+		<layer id="560" name="Reshape_163521_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="96903490" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -8637,11 +10081,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="441" name="onnx::Add_856" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="561" name="Reshape_163521" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4616, Reshape_4617, onnx::Add_856"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="562" name="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8657,7 +10120,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_856">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/conv_shortcut/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -8665,22 +10128,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="442" name="onnx::Reshape_821" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_821"/>
-			</rt_info>
+		<layer id="563" name="/decoder/up_blocks.3/resnets.0/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_821">
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="443" name="onnx::InstanceNormalization_822" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_822"/>
-			</rt_info>
+		<layer id="564" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8693,29 +10150,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_822">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2097152</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="444" name="Constant_4279" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_4279"/>
-			</rt_info>
+		<layer id="565" name="Constant_163186" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="445" name="MVN_4280" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4299, Concat_4344, MVN_4280, Multiply_4327, Reshape_4300, Reshape_4345, onnx::Reshape_825"/>
-			</rt_info>
+		<layer id="566" name="MVN_163187" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8727,18 +10178,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_825">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>2097152</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="446" name="onnx::Reshape_826" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_826"/>
-			</rt_info>
+		<layer id="567" name="/decoder/up_blocks.3/resnets.0/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8748,16 +10196,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_826">
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="447" name="onnx::Mul_827" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_827"/>
-			</rt_info>
+		<layer id="568" name="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8769,7 +10214,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_827">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -8777,10 +10222,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="448" name="Constant_11711" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="193807212" size="1024"/>
+		<layer id="569" name="Constant_178948_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96903746" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8788,11 +10233,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="449" name="onnx::Add_830" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="570" name="Constant_178948" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_830"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="571" name="/decoder/up_blocks.3/resnets.0/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8808,7 +10272,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_830">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -8816,10 +10280,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="450" name="Constant_11712" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 256, 1, 1" offset="193808236" size="1024"/>
+		<layer id="572" name="Constant_178949_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 256, 1, 1" offset="96904258" size="512" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>1</dim>
@@ -8827,11 +10291,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="451" name="onnx::Cast_833" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="573" name="Constant_178949" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.291, onnx::Cast_833"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>256</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="574" name="/decoder/up_blocks.3/resnets.0/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8847,7 +10330,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.291,onnx::Cast_833">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -8855,10 +10338,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="452" name="input.295" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.295, onnx::Mul_835"/>
-			</rt_info>
+		<layer id="575" name="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8868,7 +10348,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.295">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.0/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>256</dim>
 					<dim>512</dim>
@@ -8876,13 +10356,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="453" name="m.decoder.up_blocks.3.resnets.0.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 256, 3, 3" offset="193809260" size="1179648"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.0.conv1.weight"/>
-			</rt_info>
+		<layer id="576" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 256, 3, 3" offset="96904770" size="589824" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.0.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>256</dim>
 					<dim>3</dim>
@@ -8890,11 +10367,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="454" name="Convolution_4385" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="577" name="vae.decoder.up_blocks.3.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4385"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.0.conv1.weight">
+					<dim>128</dim>
+					<dim>256</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="578" name="/decoder/up_blocks.3/resnets.0/conv1/Conv/WithoutBiases" 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>
@@ -8916,12 +10412,34 @@
 					<dim>512</dim>
 					<dim>512</dim>
 				</port>
-			</output>
-		</layer>
-		<layer id="455" name="Reshape_4405" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="194988908" size="512"/>
+			</output>
+		</layer>
+		<layer id="579" name="Reshape_163311_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97494594" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="580" name="Reshape_163311" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -8929,11 +10447,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="456" name="onnx::Cast_837" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4404, Reshape_4405, input.299, onnx::Cast_837"/>
-			</rt_info>
+		<layer id="581" name="/decoder/up_blocks.3/resnets.0/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8949,7 +10464,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.299,onnx::Cast_837">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -8957,22 +10472,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="457" name="onnx::Reshape_839" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_839"/>
-			</rt_info>
+		<layer id="582" name="/decoder/up_blocks.3/resnets.0/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_839">
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="458" name="onnx::InstanceNormalization_840" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_840"/>
-			</rt_info>
+		<layer id="583" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -8985,29 +10494,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_840">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="459" name="Constant_4443" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_4443"/>
-			</rt_info>
+		<layer id="584" name="Constant_163348" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="460" name="MVN_4444" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4463, Concat_4508, MVN_4444, Multiply_4491, Reshape_4464, Reshape_4509, onnx::Reshape_843"/>
-			</rt_info>
+		<layer id="585" name="MVN_163349" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9019,18 +10522,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_843">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="461" name="onnx::Reshape_844" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_844"/>
-			</rt_info>
+		<layer id="586" name="/decoder/up_blocks.3/resnets.0/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9040,16 +10540,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_844">
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.0/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="462" name="onnx::Mul_845" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_845"/>
-			</rt_info>
+		<layer id="587" name="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9061,7 +10558,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_845">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9069,10 +10566,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="463" name="Constant_11713" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="194989420" size="512"/>
+		<layer id="588" name="Constant_178950_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97494850" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9080,11 +10577,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="464" name="onnx::Add_848" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="589" name="Constant_178950" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_848"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="590" name="/decoder/up_blocks.3/resnets.0/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9100,7 +10616,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_848">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9108,10 +10624,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="465" name="Constant_11714" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="194989932" size="512"/>
+		<layer id="591" name="Constant_178951_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97495106" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9119,11 +10635,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="466" name="onnx::Cast_851" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="592" name="Constant_178951" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.303, onnx::Cast_851"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="593" name="/decoder/up_blocks.3/resnets.0/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9139,7 +10674,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.303,onnx::Cast_851">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9147,10 +10682,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="467" name="input.307" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.307, onnx::Mul_853"/>
-			</rt_info>
+		<layer id="594" name="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9160,7 +10692,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.307">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.0/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9168,13 +10700,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="468" name="m.decoder.up_blocks.3.resnets.0.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 128, 3, 3" offset="194990444" size="589824"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.0.conv2.weight"/>
-			</rt_info>
+		<layer id="595" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97495362" size="294912" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.0.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -9182,11 +10711,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="469" name="Convolution_4549" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="596" name="vae.decoder.up_blocks.3.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4549"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.0.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="597" name="/decoder/up_blocks.3/resnets.0/conv2/Conv/WithoutBiases" 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>
@@ -9210,10 +10758,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="470" name="Reshape_4569" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="195580268" size="512"/>
+		<layer id="598" name="Reshape_163473_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790274" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9221,11 +10769,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="471" name="onnx::Add_855" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="599" name="Reshape_163473" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4568, Reshape_4569, onnx::Add_855"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="600" name="/decoder/up_blocks.3/resnets.0/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9241,7 +10808,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_855">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9249,11 +10816,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="472" name="onnx::Div_857" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.311, onnx::Cast_859, onnx::Div_857"/>
-			</rt_info>
+		<layer id="601" name="/decoder/up_blocks.3/resnets.0/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9269,7 +10833,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.311,onnx::Cast_859,onnx::Div_857">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.0/Add_output_0,/decoder/up_blocks.3/resnets.0/Div_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9277,22 +10841,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="473" name="onnx::Reshape_861" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_861"/>
-			</rt_info>
+		<layer id="602" name="/decoder/up_blocks.3/resnets.1/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_861">
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="474" name="onnx::InstanceNormalization_862" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_862"/>
-			</rt_info>
+		<layer id="603" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9305,29 +10863,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_862">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="475" name="Constant_4658" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_4658"/>
-			</rt_info>
+		<layer id="604" name="Constant_163561" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="476" name="MVN_4659" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4678, Concat_4723, MVN_4659, Multiply_4706, Reshape_4679, Reshape_4724, onnx::Reshape_865"/>
-			</rt_info>
+		<layer id="605" name="MVN_163562" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9339,18 +10891,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_865">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="477" name="onnx::Reshape_866" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_866"/>
-			</rt_info>
+		<layer id="606" name="/decoder/up_blocks.3/resnets.1/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9360,16 +10909,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_866">
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="478" name="onnx::Mul_867" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_867"/>
-			</rt_info>
+		<layer id="607" name="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9381,7 +10927,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_867">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9389,10 +10935,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="479" name="Constant_11715" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="195580780" size="512"/>
+		<layer id="608" name="Constant_178952_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790530" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9400,11 +10946,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="480" name="onnx::Add_870" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="609" name="Constant_178952" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_870"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="610" name="/decoder/up_blocks.3/resnets.1/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9420,7 +10985,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_870">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9428,10 +10993,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="481" name="Constant_11716" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="195581292" size="512"/>
+		<layer id="611" name="Constant_178953_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="97790786" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9439,11 +11004,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="482" name="onnx::Cast_873" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="612" name="Constant_178953" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.315, onnx::Cast_873"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="613" name="/decoder/up_blocks.3/resnets.1/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9459,7 +11043,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.315,onnx::Cast_873">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9467,10 +11051,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="483" name="input.319" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.319, onnx::Mul_875"/>
-			</rt_info>
+		<layer id="614" name="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9480,7 +11061,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.319">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.1/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9488,13 +11069,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="484" name="m.decoder.up_blocks.3.resnets.1.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 128, 3, 3" offset="195581804" size="589824"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.1.conv1.weight"/>
-			</rt_info>
+		<layer id="615" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="97791042" size="294912" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.1.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -9502,11 +11080,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="485" name="Convolution_4764" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="616" name="vae.decoder.up_blocks.3.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4764"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.1.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="617" name="/decoder/up_blocks.3/resnets.1/conv1/Conv/WithoutBiases" 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>
@@ -9530,10 +11127,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="486" name="Reshape_4784" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="196171628" size="512"/>
+		<layer id="618" name="Reshape_163686_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98085954" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9541,11 +11138,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="487" name="onnx::Cast_877" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="619" name="Reshape_163686" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4783, Reshape_4784, input.323, onnx::Cast_877"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="620" name="/decoder/up_blocks.3/resnets.1/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9561,7 +11177,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.323,onnx::Cast_877">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9569,22 +11185,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="488" name="onnx::Reshape_879" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_879"/>
-			</rt_info>
+		<layer id="621" name="/decoder/up_blocks.3/resnets.1/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_879">
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="489" name="onnx::InstanceNormalization_880" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_880"/>
-			</rt_info>
+		<layer id="622" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9597,29 +11207,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_880">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="490" name="Constant_4822" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_4822"/>
-			</rt_info>
+		<layer id="623" name="Constant_163723" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="491" name="MVN_4823" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4842, Concat_4887, MVN_4823, Multiply_4870, Reshape_4843, Reshape_4888, onnx::Reshape_883"/>
-			</rt_info>
+		<layer id="624" name="MVN_163724" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9631,18 +11235,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_883">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="492" name="onnx::Reshape_884" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_884"/>
-			</rt_info>
+		<layer id="625" name="/decoder/up_blocks.3/resnets.1/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9652,16 +11253,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_884">
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.1/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="493" name="onnx::Mul_885" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_885"/>
-			</rt_info>
+		<layer id="626" name="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9673,7 +11271,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_885">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9681,10 +11279,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="494" name="Constant_11717" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="196172140" size="512"/>
+		<layer id="627" name="Constant_178954_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98086210" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9692,11 +11290,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="495" name="onnx::Add_888" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="628" name="Constant_178954" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_888"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="629" name="/decoder/up_blocks.3/resnets.1/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9712,7 +11329,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_888">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9720,10 +11337,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="496" name="Constant_11718" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="196172652" size="512"/>
+		<layer id="630" name="Constant_178955_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98086466" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9731,11 +11348,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="497" name="onnx::Cast_891" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="631" name="Constant_178955" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.327, onnx::Cast_891"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="632" name="/decoder/up_blocks.3/resnets.1/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9751,7 +11387,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.327,onnx::Cast_891">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9759,10 +11395,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="498" name="input.331" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.331, onnx::Mul_893"/>
-			</rt_info>
+		<layer id="633" name="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9772,7 +11405,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.331">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.1/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9780,13 +11413,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="499" name="m.decoder.up_blocks.3.resnets.1.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 128, 3, 3" offset="196173164" size="589824"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.1.conv2.weight"/>
-			</rt_info>
+		<layer id="634" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98086722" size="294912" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.1.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -9794,11 +11424,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="500" name="Convolution_4928" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="635" name="vae.decoder.up_blocks.3.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_4928"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.1.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="636" name="/decoder/up_blocks.3/resnets.1/conv2/Conv/WithoutBiases" 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>
@@ -9822,10 +11471,32 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="501" name="Reshape_4948" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="196762988" size="512"/>
+		<layer id="637" name="Reshape_163848_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98381634" size="256" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="638" name="Reshape_163848" 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>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
 			<output>
-				<port id="0" precision="FP32">
+				<port id="1" precision="FP32">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -9833,11 +11504,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="502" name="onnx::Add_895" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_4947, Reshape_4948, onnx::Add_895"/>
-			</rt_info>
+		<layer id="639" name="/decoder/up_blocks.3/resnets.1/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9853,7 +11521,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_895">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9861,11 +11529,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="503" name="onnx::Div_896" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.335, onnx::Cast_898, onnx::Div_896"/>
-			</rt_info>
+		<layer id="640" name="/decoder/up_blocks.3/resnets.1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9881,7 +11546,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.335,onnx::Cast_898,onnx::Div_896">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.1/Add_output_0,/decoder/up_blocks.3/resnets.1/Div_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -9889,22 +11554,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="504" name="onnx::Reshape_900" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_900"/>
-			</rt_info>
+		<layer id="641" name="/decoder/up_blocks.3/resnets.2/norm1/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_900">
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm1/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="505" name="onnx::InstanceNormalization_901" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_901"/>
-			</rt_info>
+		<layer id="642" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9917,29 +11576,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_901">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="506" name="Constant_4989" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_4989"/>
-			</rt_info>
+		<layer id="643" name="Constant_163888" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="507" name="MVN_4990" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_5009, Concat_5054, MVN_4990, Multiply_5037, Reshape_5010, Reshape_5055, onnx::Reshape_904"/>
-			</rt_info>
+		<layer id="644" name="MVN_163889" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9951,18 +11604,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_904">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="508" name="onnx::Reshape_905" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_905"/>
-			</rt_info>
+		<layer id="645" name="/decoder/up_blocks.3/resnets.2/norm1/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9972,16 +11622,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_905">
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm1/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="509" name="onnx::Mul_906" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_906"/>
-			</rt_info>
+		<layer id="646" name="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -9993,7 +11640,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_906">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10001,10 +11648,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="510" name="Constant_11719" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="196763500" size="512"/>
+		<layer id="647" name="Constant_178956_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98381890" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10012,11 +11659,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="511" name="onnx::Add_909" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="648" name="Constant_178956" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_909"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="649" name="/decoder/up_blocks.3/resnets.2/norm1/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10032,7 +11698,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_909">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10040,10 +11706,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="512" name="Constant_11720" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="196764012" size="512"/>
+		<layer id="650" name="Constant_178957_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98382146" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10051,11 +11717,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="513" name="onnx::Cast_912" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="651" name="Constant_178957" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.339, onnx::Cast_912"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="652" name="/decoder/up_blocks.3/resnets.2/norm1/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10071,7 +11756,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.339,onnx::Cast_912">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm1/Add_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10079,10 +11764,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="514" name="input.343" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.343, onnx::Mul_914"/>
-			</rt_info>
+		<layer id="653" name="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10092,7 +11774,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.343">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.2/nonlinearity/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10100,13 +11782,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="515" name="m.decoder.up_blocks.3.resnets.2.conv1.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 128, 3, 3" offset="196764524" size="589824"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.2.conv1.weight"/>
-			</rt_info>
+		<layer id="654" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98382402" size="294912" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.2.conv1.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -10114,11 +11793,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="516" name="Convolution_5095" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="655" name="vae.decoder.up_blocks.3.resnets.2.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_5095"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.2.conv1.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="656" name="/decoder/up_blocks.3/resnets.2/conv1/Conv/WithoutBiases" 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>
@@ -10142,10 +11840,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="517" name="Reshape_5115" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="197354348" size="512"/>
+		<layer id="657" name="Reshape_164013_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677314" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10153,11 +11851,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="518" name="onnx::Cast_916" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="658" name="Reshape_164013" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_5114, Reshape_5115, input.347, onnx::Cast_916"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="659" name="/decoder/up_blocks.3/resnets.2/conv1/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10173,7 +11890,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.347,onnx::Cast_916">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/conv1/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10181,22 +11898,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="519" name="onnx::Reshape_918" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_918"/>
-			</rt_info>
+		<layer id="660" name="/decoder/up_blocks.3/resnets.2/norm2/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_918">
+				<port id="0" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm2/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="520" name="onnx::InstanceNormalization_919" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_919"/>
-			</rt_info>
+		<layer id="661" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10209,29 +11920,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_919">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="521" name="Constant_5153" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_5153"/>
-			</rt_info>
+		<layer id="662" name="Constant_164050" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="522" name="MVN_5154" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_5173, Concat_5218, MVN_5154, Multiply_5201, Reshape_5174, Reshape_5219, onnx::Reshape_922"/>
-			</rt_info>
+		<layer id="663" name="MVN_164051" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10243,18 +11948,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_922">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="523" name="onnx::Reshape_923" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_923"/>
-			</rt_info>
+		<layer id="664" name="/decoder/up_blocks.3/resnets.2/norm2/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10264,16 +11966,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_923">
+				<port id="1" precision="I64" names="/decoder/up_blocks.3/resnets.2/norm2/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="524" name="onnx::Mul_924" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_924"/>
-			</rt_info>
+		<layer id="665" name="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10285,7 +11984,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_924">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10293,10 +11992,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="525" name="Constant_11721" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="197354860" size="512"/>
+		<layer id="666" name="Constant_178958_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677570" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10304,11 +12003,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="526" name="onnx::Add_927" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="667" name="Constant_178958" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_927"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="668" name="/decoder/up_blocks.3/resnets.2/norm2/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10324,7 +12042,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_927">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10332,10 +12050,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="527" name="Constant_11722" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="197355372" size="512"/>
+		<layer id="669" name="Constant_178959_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98677826" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10343,11 +12061,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="528" name="onnx::Cast_930" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="670" name="Constant_178959" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.351, onnx::Cast_930"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="671" name="/decoder/up_blocks.3/resnets.2/norm2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10363,7 +12100,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.351,onnx::Cast_930">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/norm2/Add_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10371,10 +12108,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="529" name="input.355" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.355, onnx::Mul_932"/>
-			</rt_info>
+		<layer id="672" name="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10384,7 +12118,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.355">
+				<port id="1" precision="FP32" names="/decoder/up_blocks.3/resnets.2/nonlinearity_1/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10392,13 +12126,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="530" name="m.decoder.up_blocks.3.resnets.2.conv2.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="128, 128, 3, 3" offset="197355884" size="589824"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.up_blocks.3.resnets.2.conv2.weight"/>
-			</rt_info>
+		<layer id="673" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="128, 128, 3, 3" offset="98678082" size="294912" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.up_blocks.3.resnets.2.conv2.weight">
+				<port id="0" precision="FP16">
 					<dim>128</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -10406,11 +12137,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="531" name="Convolution_5259" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="674" name="vae.decoder.up_blocks.3.resnets.2.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_5259"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.up_blocks.3.resnets.2.conv2.weight">
+					<dim>128</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="675" name="/decoder/up_blocks.3/resnets.2/conv2/Conv/WithoutBiases" 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>
@@ -10434,10 +12184,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="532" name="Reshape_5279" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="197945708" size="512"/>
+		<layer id="676" name="Reshape_164175_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98972994" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10445,11 +12195,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="533" name="onnx::Add_934" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="677" name="Reshape_164175" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_5278, Reshape_5279, onnx::Add_934"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="678" name="/decoder/up_blocks.3/resnets.2/conv2/Conv" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10465,7 +12234,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_934">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/conv2/Conv_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10473,11 +12242,8 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="534" name="onnx::Div_935" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.359, onnx::Div_935"/>
-			</rt_info>
+		<layer id="679" name="/decoder/up_blocks.3/resnets.2/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10493,7 +12259,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.359,onnx::Div_935">
+				<port id="2" precision="FP32" names="/decoder/up_blocks.3/resnets.2/Add_output_0,/decoder/up_blocks.3/resnets.2/Div_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10501,22 +12267,16 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="535" name="onnx::Reshape_938" type="Const" version="opset1">
-			<data element_type="i64" shape="3" offset="79952" size="24"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_938"/>
-			</rt_info>
+		<layer id="680" name="/decoder/conv_norm_out/Constant" type="Const" version="opset1">
+			<data element_type="i64" shape="3" offset="39976" size="24" />
 			<output>
-				<port id="0" precision="I64" names="onnx::Reshape_938">
+				<port id="0" precision="I64" names="/decoder/conv_norm_out/Constant_output_0">
 					<dim>3</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="536" name="onnx::InstanceNormalization_939" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::InstanceNormalization_939"/>
-			</rt_info>
+		<layer id="681" name="/decoder/conv_norm_out/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10529,29 +12289,23 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::InstanceNormalization_939">
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Reshape_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="537" name="Constant_5319" type="Const" version="opset1">
-			<data element_type="i64" shape="1" offset="79976" size="8"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Constant_5319"/>
-			</rt_info>
+		<layer id="682" name="Constant_164215" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
 			<output>
 				<port id="0" precision="I64">
 					<dim>1</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="538" name="MVN_5320" type="MVN" version="opset6">
-			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_5339, Concat_5384, MVN_5320, Multiply_5367, Reshape_5340, Reshape_5385, onnx::Reshape_942"/>
-			</rt_info>
+		<layer id="683" name="MVN_164216" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10563,18 +12317,15 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Reshape_942">
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/InstanceNormalization_output_0">
 					<dim>1</dim>
 					<dim>32</dim>
 					<dim>1048576</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="539" name="onnx::Reshape_943" type="ShapeOf" version="opset3">
-			<data output_type="i64"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Reshape_943"/>
-			</rt_info>
+		<layer id="684" name="/decoder/conv_norm_out/Shape" type="ShapeOf" version="opset3">
+			<data output_type="i64" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10584,16 +12335,13 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="I64" names="onnx::Reshape_943">
+				<port id="1" precision="I64" names="/decoder/conv_norm_out/Shape_output_0">
 					<dim>4</dim>
 				</port>
 			</output>
 		</layer>
-		<layer id="540" name="onnx::Mul_944" type="Reshape" version="opset1">
-			<data special_zero="true"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Mul_944"/>
-			</rt_info>
+		<layer id="685" name="/decoder/conv_norm_out/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10605,7 +12353,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Mul_944">
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Reshape_1_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10613,10 +12361,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="541" name="Constant_11723" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="197946220" size="512"/>
+		<layer id="686" name="Constant_178960_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98973250" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10624,11 +12372,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="542" name="onnx::Add_947" type="Multiply" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="687" name="Constant_178960" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="onnx::Add_947"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="688" name="/decoder/conv_norm_out/Mul" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10644,7 +12411,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="onnx::Add_947">
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10652,10 +12419,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="543" name="Constant_11724" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 128, 1, 1" offset="197946732" size="512"/>
+		<layer id="689" name="Constant_178961_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 128, 1, 1" offset="98973506" size="256" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>1</dim>
@@ -10663,11 +12430,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="544" name="input.363" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="690" name="Constant_178961" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="input.363"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>128</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="691" name="/decoder/conv_norm_out/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10683,7 +12469,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="input.363">
+				<port id="2" precision="FP32" names="/decoder/conv_norm_out/Add_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10691,10 +12477,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="545" name="input.367" type="Swish" version="opset4">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="input.367, onnx::Mul_951"/>
-			</rt_info>
+		<layer id="692" name="/decoder/conv_act/Mul" type="Swish" version="opset4">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10704,7 +12487,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="1" precision="FP32" names="input.367">
+				<port id="1" precision="FP32" names="/decoder/conv_act/Mul_output_0">
 					<dim>1</dim>
 					<dim>128</dim>
 					<dim>512</dim>
@@ -10712,13 +12495,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="546" name="m.decoder.conv_out.weight" type="Const" version="opset1">
-			<data element_type="f32" shape="3, 128, 3, 3" offset="197947244" size="13824"/>
-			<rt_info>
-				<attribute name="fused_names" version="0" value="m.decoder.conv_out.weight"/>
-			</rt_info>
+		<layer id="693" name="vae.decoder.conv_out.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="3, 128, 3, 3" offset="98973762" size="6912" />
 			<output>
-				<port id="0" precision="FP32" names="m.decoder.conv_out.weight">
+				<port id="0" precision="FP16">
 					<dim>3</dim>
 					<dim>128</dim>
 					<dim>3</dim>
@@ -10726,11 +12506,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="547" name="Convolution_5424" type="Convolution" version="opset1">
-			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit"/>
+		<layer id="694" name="vae.decoder.conv_out.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Convolution_5424"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.decoder.conv_out.weight">
+					<dim>3</dim>
+					<dim>128</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="695" name="/decoder/conv_out/Conv/WithoutBiases" 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>
@@ -10754,10 +12553,10 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="548" name="Reshape_5444" type="Const" version="opset1">
-			<data element_type="f32" shape="1, 3, 1, 1" offset="197961068" size="12"/>
+		<layer id="696" name="Reshape_164340_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 3, 1, 1" offset="98980674" size="6" />
 			<output>
-				<port id="0" precision="FP32">
+				<port id="0" precision="FP16">
 					<dim>1</dim>
 					<dim>3</dim>
 					<dim>1</dim>
@@ -10765,11 +12564,30 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="549" name="image" type="Add" version="opset1">
-			<data auto_broadcast="numpy"/>
+		<layer id="697" name="Reshape_164340" type="Convert" version="opset1">
+			<data destination_type="f32" />
 			<rt_info>
-				<attribute name="fused_names" version="0" value="Concat_5443, Reshape_5444, image"/>
+				<attribute name="decompression" version="0" />
 			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>3</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="698" name="sample" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10785,7 +12603,7 @@
 				</port>
 			</input>
 			<output>
-				<port id="2" precision="FP32" names="image">
+				<port id="2" precision="FP32" names="sample">
 					<dim>1</dim>
 					<dim>3</dim>
 					<dim>512</dim>
@@ -10793,10 +12611,7 @@
 				</port>
 			</output>
 		</layer>
-		<layer id="550" name="image/sink_port_0" type="Result" version="opset1">
-			<rt_info>
-				<attribute name="fused_names" version="0" value="image/sink_port_0"/>
-			</rt_info>
+		<layer id="699" name="sample/sink_port_0" type="Result" version="opset1">
 			<input>
 				<port id="0" precision="FP32">
 					<dim>1</dim>
@@ -10808,659 +12623,766 @@
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