diff --git "a/vae_decoder.xml" "b/vae_decoder.xml"
new file mode 100644--- /dev/null
+++ "b/vae_decoder.xml"
@@ -0,0 +1,13188 @@
+<?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" />
+			<rt_info>
+				<attribute name="old_api_map_element_type" version="0" value="f16" />
+			</rt_info>
+			<output>
+				<port id="0" precision="FP32" names="latents">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="Constant_5869_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="0" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Constant_5869" 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="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="Constant_5865_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="4" name="Constant_5865" 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="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="vae.post_quant_conv.weight_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>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="vae.post_quant_conv.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="vae.post_quant_conv.weight">
+					<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>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="Reshape_153_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 4, 1, 1" offset="2080" size="8" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="Reshape_153" 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>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>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/post_quant_conv/Conv_output_0">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="vae.decoder.conv_in.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>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>
+					<dim>4</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="Reshape_168_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="38952" 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="15" name="Reshape_168" 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="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>
+					<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/conv_in/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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="/decoder/mid_block/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<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="19" name="Constant_178" 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="20" name="MVN_179" 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>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="23" name="Constant_5859_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="40008" 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="24" name="Constant_5859" 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="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>
+					<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/norm1/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="Constant_5860_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="41032" 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="27" name="Constant_5860" 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="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>
+					<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/norm1/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="/decoder/mid_block/resnets.0/nonlinearity/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.0/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="vae.decoder.mid_block.resnets.0.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="33" name="Reshape_225_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4760648" 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="34" name="Reshape_225" 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="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>
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+				<port id="1" precision="FP32">
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+					<dim>512</dim>
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+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/conv1/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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="/decoder/mid_block/resnets.0/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<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="38" name="Constant_235" 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="39" name="MVN_236" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+				<port id="0" precision="FP32">
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+					<dim>65536</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
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+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.0/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="42" name="Constant_5861_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4761672" size="1024" />
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+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="43" name="Constant_5861" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<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>
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+					<dim>64</dim>
+					<dim>64</dim>
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+				<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/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="45" name="Constant_5862_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4762696" size="1024" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="46" name="Constant_5862" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
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+					<dim>1</dim>
+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</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>
+					<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>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.0/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="50" name="vae.decoder.mid_block.resnets.0.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="52" name="Reshape_282_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9482312" 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="53" name="Reshape_282" 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="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>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<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="/decoder/mid_block/attentions.0/group_norm/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<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="58" name="Constant_295" 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="59" name="MVN_296" 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>
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+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/attentions.0/group_norm/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>32</dim>
+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="62" name="Constant_5863_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9483336" size="1024" />
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+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="63" name="Constant_5863" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
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+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+				<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/attentions.0/group_norm/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="65" name="Constant_5864_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="9484360" size="1024" />
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
+		</layer>
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+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<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>
+					<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/attentions.0/group_norm/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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="/decoder/mid_block/attentions.0/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</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_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="70" name="Constant_5748_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="9485408" size="524288" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="71" name="Constant_5748" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<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="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>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>1</dim>
+					<dim>512</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/query/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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="/decoder/mid_block/attentions.0/Constant_1_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_1_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="76" name="Constant_5750" 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="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>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_1_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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="I64" names="/decoder/mid_block/attentions.0/Constant_2_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<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_2_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="80" name="Constant_5866_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10009784" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="81" name="Constant_5866" 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="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="82" name="Constant_5756_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="83" name="Constant_5756" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<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>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>1</dim>
+					<dim>512</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/key/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_3_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="88" name="Constant_5758" 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="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>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_2_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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_5867_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="93" name="Constant_5867" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</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_5805" 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">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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>4096</dim>
+					<dim>512</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/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="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>4096</dim>
+					<dim>4096</dim>
+				</port>
+			</input>
+			<output>
+				<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="97" name="Constant_5868_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 1, 512" offset="10535098" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="98" name="Constant_5868" 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="1" precision="FP32">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="99" name="Constant_5764_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="100" name="Constant_5764" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<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>512</dim>
+					<dim>4096</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>1</dim>
+					<dim>512</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/value/Add_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_5_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="105" name="Constant_5766" 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="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>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_3_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
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+					<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="/decoder/mid_block/attentions.0/Reshape_7_output_0">
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="112" name="Constant_5770" 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="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>
+					<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="/decoder/mid_block/attentions.0/Transpose_5_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>1</dim>
+					<dim>512</dim>
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+			</output>
+		</layer>
+		<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="/decoder/mid_block/attentions.0/Constant_10_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>4096</dim>
+					<dim>1</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_8_output_0">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="116" name="Constant_5776_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512" offset="11060474" size="524288" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="117" name="Constant_5776" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<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>
+					<dim>4096</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>1</dim>
+					<dim>512</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
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+			</input>
+			<output>
+				<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="120" name="Constant_394" 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="121" name="/decoder/mid_block/attentions.0/Transpose_6" type="Transpose" version="opset1">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4096</dim>
+					<dim>512</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Transpose_6_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>4096</dim>
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+			</output>
+		</layer>
+		<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="/decoder/mid_block/attentions.0/Constant_11_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>4096</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/attentions.0/Reshape_9_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
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+		<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>
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
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+			</input>
+			<output>
+				<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>
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+					<dim>64</dim>
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+				</port>
+			</output>
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+			<data element_type="i64" shape="3" offset="39976" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Constant_output_0">
+					<dim>3</dim>
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+			</output>
+		</layer>
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+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>64</dim>
+					<dim>64</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Reshape_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
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+			</output>
+		</layer>
+		<layer id="127" name="Constant_409" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+		<layer id="128" name="MVN_410" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="I64">
+					<dim>1</dim>
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+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
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+			</output>
+		</layer>
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+			<data output_type="i64" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.1/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
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+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+				<port id="1" precision="I64">
+					<dim>4</dim>
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+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm1/Reshape_1_output_0">
+					<dim>1</dim>
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+					<dim>64</dim>
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+					<dim>1</dim>
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+		<layer id="132" name="Constant_5870" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>1</dim>
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+			<output>
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+					<dim>1</dim>
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+					<dim>64</dim>
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+					<dim>1</dim>
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+		</layer>
+		<layer id="135" name="Constant_5871" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+					<dim>1</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+			</input>
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+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="137" name="/decoder/mid_block/resnets.1/nonlinearity/Mul" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="/decoder/mid_block/resnets.1/nonlinearity/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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" />
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+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="139" name="vae.decoder.mid_block.resnets.1.conv1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>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" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>3</dim>
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+			<output>
+				<port id="2" precision="FP32">
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+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="141" name="Reshape_456_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16305458" size="1024" />
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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+		</layer>
+		<layer id="142" name="Reshape_456" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
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+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+					<dim>512</dim>
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+					<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" />
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+				<port id="0" precision="FP32">
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+					<dim>1</dim>
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+			</input>
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+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/conv1/Conv_output_0">
+					<dim>1</dim>
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+					<dim>64</dim>
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+			</output>
+		</layer>
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+			<data element_type="i64" shape="3" offset="39976" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Constant_output_0">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="145" name="/decoder/mid_block/resnets.1/norm2/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>64</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Reshape_output_0">
+					<dim>1</dim>
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+				</port>
+			</output>
+		</layer>
+		<layer id="146" name="Constant_466" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
+				</port>
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+		</layer>
+		<layer id="147" name="MVN_467" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+				<port id="0" precision="FP32">
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+					<dim>65536</dim>
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+				<port id="1" precision="I64">
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/InstanceNormalization_output_0">
+					<dim>1</dim>
+					<dim>32</dim>
+					<dim>65536</dim>
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+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/mid_block/resnets.1/norm2/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="149" name="/decoder/mid_block/resnets.1/norm2/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
+					<dim>4</dim>
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+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="150" name="Constant_5872_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16306482" size="1024" />
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+				<port id="0" precision="FP16">
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+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="151" name="Constant_5872" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
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+					<dim>1</dim>
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+			<output>
+				<port id="1" precision="FP32">
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+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</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>
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+					<dim>64</dim>
+					<dim>64</dim>
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+				<port id="1" precision="FP32">
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+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Mul_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="153" name="Constant_5873_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="16307506" size="1024" />
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+				<port id="0" precision="FP16">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="154" name="Constant_5873" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
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+			<input>
+				<port id="0" precision="FP16">
+					<dim>1</dim>
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+					<dim>1</dim>
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+					<dim>1</dim>
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+			</output>
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+		<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">
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+				<port id="1" precision="FP32">
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+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/norm2/Add_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
+			</output>
+		</layer>
+		<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>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</input>
+			<output>
+				<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>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<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" />
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+					<dim>512</dim>
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+					<dim>3</dim>
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+			</output>
+		</layer>
+		<layer id="158" name="vae.decoder.mid_block.resnets.1.conv2.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>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">
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+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+				<port id="1" precision="FP32">
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+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
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+			</output>
+		</layer>
+		<layer id="160" name="Reshape_513_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="21027122" size="1024" />
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+				<port id="0" precision="FP16">
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+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="161" name="Reshape_513" 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>
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+			<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">
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+				<port id="1" precision="FP32">
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+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/mid_block/resnets.1/conv2/Conv_output_0">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>64</dim>
+					<dim>64</dim>
+				</port>
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+			<data auto_broadcast="numpy" />
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+				<port id="0" precision="FP32">
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+				<port id="1" precision="FP32">
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+					<dim>64</dim>
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+			<output>
+				<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>
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+					<dim>64</dim>
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+			</output>
+		</layer>
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+			<data element_type="i64" shape="3" offset="39976" size="24" />
+			<output>
+				<port id="0" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Constant_output_0">
+					<dim>3</dim>
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+			</output>
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+		<layer id="165" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>64</dim>
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+				<port id="1" precision="I64">
+					<dim>3</dim>
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+			</input>
+			<output>
+				<port id="2" precision="FP32" names="/decoder/up_blocks.0/resnets.0/norm1/Reshape_output_0">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="166" name="Constant_526" type="Const" version="opset1">
+			<data element_type="i64" shape="1" offset="40000" size="8" />
+			<output>
+				<port id="0" precision="I64">
+					<dim>1</dim>
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+			</output>
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+		<layer id="167" name="MVN_527" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
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+					<dim>65536</dim>
+				</port>
+				<port id="1" precision="I64">
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+				</port>
+			</input>
+			<output>
+				<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="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>
+					<dim>512</dim>
+					<dim>64</dim>
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+				</port>
+			</input>
+			<output>
+				<port id="1" precision="I64" names="/decoder/up_blocks.0/resnets.0/norm1/Shape_output_0">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="169" name="/decoder/up_blocks.0/resnets.0/norm1/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
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+		<layer id="220" name="Reshape_690" type="Convert" version="opset1">
+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			<data auto_broadcast="numpy" />
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+				<port id="1" precision="I64">
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+			<data destination_type="f32" />
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+			<data auto_broadcast="numpy" />
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+			</output>
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+			<data destination_type="f32" />
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+				<attribute name="decompression" version="0" />
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+			</output>
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+				<attribute name="decompression" version="0" />
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+		<edge from-layer="686" from-port="2" to-layer="687" to-port="0" />
+	</edges>
+	<rt_info>
+		<MO_version value="2023.0.0-10926-b4452d56304-releases/2023/0" />
+		<Runtime_version value="2023.0.0-10926-b4452d56304-releases/2023/0" />
+		<conversion_parameters>
+			<compress_to_fp16 value="True" />
+			<input_model value="DIR\vae_decoder.onnx" />
+			<is_python_api_used value="False" />
+		</conversion_parameters>
+		<legacy_frontend value="False" />
+	</rt_info>
+</net>