diff --git "a/vae_decoder/openvino_model.xml" "b/vae_decoder/openvino_model.xml"
new file mode 100644--- /dev/null
+++ "b/vae_decoder/openvino_model.xml"
@@ -0,0 +1,15324 @@
+<?xml version="1.0"?>
+<net name="Model313" version="11">
+	<layers>
+		<layer id="0" name="latent_sample" type="Parameter" version="opset1">
+			<data shape="1,4,?,?" element_type="f32" />
+			<output>
+				<port id="0" precision="FP32" names="latent_sample">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="1" name="self.post_quant_conv.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="4, 4, 1, 1" offset="0" size="16" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="2" name="Convert_2987795" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="3" name="self.post_quant_conv.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="4, 1, 1, 1" offset="16" size="4" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="4" name="Convert_2987798" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="5" name="self.post_quant_conv.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="6" name="self.post_quant_conv.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="4, 1, 1, 1" offset="20" size="8" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="7" name="self.post_quant_conv.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>4</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="8" name="self.post_quant_conv.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<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="9" name="__module.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>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</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>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="10" name="__module.post_quant_conv/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 4, 1, 1" offset="28" size="16" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="11" name="__module.post_quant_conv/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+				<port id="1" precision="FP32">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP32" names="17">
+					<dim>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="12" name="self.decoder.conv_in.weight" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 4, 3, 3" offset="44" size="18432" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="13" name="Convert_2987806" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="14" name="self.decoder.conv_in.weight/zero_point" type="Const" version="opset1">
+			<data element_type="u8" shape="512, 1, 1, 1" offset="18476" size="512" />
+			<output>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="15" name="Convert_2987809" type="Convert" version="opset1">
+			<data destination_type="f16" />
+			<input>
+				<port id="0" precision="U8">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="16" name="self.decoder.conv_in.weight/zero_point/subtract" type="Subtract" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="17" name="self.decoder.conv_in.weight/scale" type="Const" version="opset1">
+			<data element_type="f16" shape="512, 1, 1, 1" offset="18988" size="1024" />
+			<output>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="18" name="self.decoder.conv_in.weight/fq_weights_1" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+				<port id="1" precision="FP16">
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</input>
+			<output>
+				<port id="2" precision="FP16">
+					<dim>512</dim>
+					<dim>4</dim>
+					<dim>3</dim>
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="19" name="self.decoder.conv_in.weight/fq_weights_1/convert" type="Convert" version="opset1">
+			<data destination_type="f32" />
+			<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="20" name="__module.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>1</dim>
+					<dim>4</dim>
+					<dim>-1</dim>
+					<dim>-1</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>-1</dim>
+					<dim>-1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="21" name="__module.decoder.conv_in/aten::_convolution/Reshape" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="20012" size="2048" />
+			<output>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>1</dim>
+					<dim>1</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="22" name="__module.decoder.conv_in/aten::_convolution/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
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+				</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="57,input.1">
+					<dim>1</dim>
+					<dim>512</dim>
+					<dim>-1</dim>
+					<dim>-1</dim>
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+			</output>
+		</layer>
+		<layer id="23" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant" type="Const" version="opset1">
+			<data element_type="i32" shape="3" offset="22060" size="12" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>3</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="24" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape" type="Reshape" version="opset1">
+			<data special_zero="true" />
+			<input>
+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
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+				<port id="1" precision="I32">
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+			</input>
+			<output>
+				<port id="2" precision="FP32">
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+					<dim>32</dim>
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+			</output>
+		</layer>
+		<layer id="25" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Constant_1" type="Const" version="opset1">
+			<data element_type="i32" shape="1" offset="22072" size="4" />
+			<output>
+				<port id="0" precision="I32">
+					<dim>1</dim>
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+			</output>
+		</layer>
+		<layer id="26" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/MVN" type="MVN" version="opset6">
+			<data eps="9.9999999747524271e-07" normalize_variance="true" eps_mode="INSIDE_SQRT" />
+			<input>
+				<port id="0" precision="FP32">
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+				<port id="1" precision="I32">
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+				<port id="2" precision="FP32">
+					<dim>1</dim>
+					<dim>32</dim>
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+			</output>
+		</layer>
+		<layer id="27" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/ShapeOf" type="ShapeOf" version="opset3">
+			<data output_type="i32" />
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+				<port id="0" precision="FP32">
+					<dim>1</dim>
+					<dim>512</dim>
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+			<output>
+				<port id="1" precision="I32">
+					<dim>4</dim>
+				</port>
+			</output>
+		</layer>
+		<layer id="28" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Reshape_1" type="Reshape" version="opset1">
+			<data special_zero="true" />
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+				<port id="0" precision="FP32">
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+		<layer id="29" name="Constant_2987166" type="Const" version="opset1">
+			<data element_type="f32" shape="1, 512, 1, 1" offset="22076" size="2048" />
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+		</layer>
+		<layer id="30" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Multiply" type="Multiply" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<layer id="31" name="Constant_2987167" type="Const" version="opset1">
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+		<layer id="32" name="__module.decoder.mid_block.resnets.0.norm1/aten::group_norm/Add" type="Add" version="opset1">
+			<data auto_broadcast="numpy" />
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+		<layer id="33" name="__module.decoder.mid_block.resnets.1.nonlinearity/aten::silu/Swish" type="Swish" version="opset4">
+			<input>
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