diff --git "a/vae.xml" "b/vae.xml"
new file mode 100644--- /dev/null
+++ "b/vae.xml"
@@ -0,0 +1,8554 @@
+<?xml version="1.0"?>
+<net name="Model3" version="11">
+	<layers>
+		<layer id="0" name="z" type="Parameter" version="opset1">
+			<data shape="16,4,30,54" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="z">
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.vae.post_quant_conv.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 4, 1, 1" offset="0" size="32" />
+			<output>
+				<port id="0" precision="FP16" names="self.vae.post_quant_conv.weight">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="self.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">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="__module.vae.post_quant_conv/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="0, 0" pads_end="0, 0" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>30</dim>
+					<dim>54</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>16</dim>
+					<dim>4</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="__module.vae.post_quant_conv/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 4, 1, 1" offset="32" 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="5" name="__module.vae.post_quant_conv/aten::_convolution/Reshape" 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="6" name="__module.vae.post_quant_conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>30</dim>
+					<dim>54</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="20,input.1">
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.vae.decoder.conv_in.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 4, 3, 3" offset="40" size="36864" />
+			<output>
+				<port id="0" precision="FP16" names="self.vae.decoder.conv_in.weight">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.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">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="9" name="__module.vae.decoder.conv_in/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>4</dim>
+					<dim>30</dim>
+					<dim>54</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>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.vae.decoder.conv_in/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="36904" 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="11" name="__module.vae.decoder.conv_in/aten::_convolution/Reshape" 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="12" name="__module.vae.decoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</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="60,input.3">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="self.vae.decoder.mid_block.resnets.0.norm1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="37928" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.vae.decoder.mid_block.resnets.0.norm1.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="self.vae.decoder.mid_block.resnets.0.norm1.weight" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="self.vae.decoder.mid_block.resnets.0.norm1.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="38952" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.vae.decoder.mid_block.resnets.0.norm1.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.vae.decoder.mid_block.resnets.0.norm1.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="__module.vae.decoder.mid_block.resnets.0.norm1/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="77,input.5">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="__module.vae.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="78,input.7">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="self.vae.decoder.mid_block.resnets.0.conv1.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="39976" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.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="20" name="self.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">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Convolution" type="Convolution" version="opset1">
+			<data strides="1, 1" dilations="1, 1" pads_begin="1, 1" pads_end="1, 1" auto_pad="explicit" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</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>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="1, 512, 1, 1" offset="4758568" 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="23" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Reshape" 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="24" name="__module.vae.decoder.mid_block.resnets.0.conv1/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</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="85,input.9">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="25" name="self.vae.decoder.mid_block.resnets.0.norm2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="4759592" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.vae.decoder.mid_block.resnets.0.norm2.weight">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="26" name="self.vae.decoder.mid_block.resnets.0.norm2.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>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="27" name="self.vae.decoder.mid_block.resnets.0.norm2.bias_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512" offset="4760616" size="1024" />
+			<output>
+				<port id="0" precision="FP16" names="self.vae.decoder.mid_block.resnets.0.norm2.bias">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="self.vae.decoder.mid_block.resnets.0.norm2.bias" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<rt_info>
+				<attribute name="decompression" version="0" />
+			</rt_info>
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="29" name="__module.vae.decoder.mid_block.resnets.0.norm2/aten::group_norm/GroupNormalization" type="GroupNormalization" version="opset12">
+			<data num_groups="32" epsilon="9.9999999747524271e-07" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>512</dim>
+				</port>
+				<port id="2" precision="FP32">
+					<dim>512</dim>
+				</port>
+			</input>
+			<output>
+				<port id="3" precision="FP32" names="88,input.11">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="30" name="__module.vae.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish_1" type="Swish" version="opset4">
+			<input>
+				<port id="0" precision="FP32">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP32" names="89,input.13">
+					<dim>16</dim>
+					<dim>512</dim>
+					<dim>30</dim>
+					<dim>54</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="31" name="self.vae.decoder.mid_block.resnets.0.conv2.weight_compressed" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 512, 3, 3" offset="4761640" size="4718592" />
+			<output>
+				<port id="0" precision="FP16" names="self.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="32" name="self.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">
+					<dim>512</dim>
+					<dim>512</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
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