diff --git a/bin/models/upconv_7_anime_style_art_rgb/info.json b/bin/models/upconv_7_anime_style_art_rgb/info.json
index a90cca2..ea2ce90 100644
--- a/bin/models/upconv_7_anime_style_art_rgb/info.json
+++ b/bin/models/upconv_7_anime_style_art_rgb/info.json
@@ -1 +1,4 @@
-{"name":"UpRGB","arch_name":"upconv_7","channels":3,"resize":true,"scale_factor":2,"offset":12}
\ No newline at end of file
+{"name":"UpRGB","arch_name":"upconv_7","has_noise_scale":true,"channels":3,
+"scale_factor":2,"offset":14,
+"scale_factor_noise":1,"offset_noise":7
+}
\ No newline at end of file
diff --git a/bin/models/upconv_7_anime_style_art_rgb/noise1_scale2.0x_model.prototxt b/bin/models/upconv_7_anime_style_art_rgb/noise1_scale2.0x_model.prototxt
new file mode 100644
index 0000000..ac5f684
--- /dev/null
+++ b/bin/models/upconv_7_anime_style_art_rgb/noise1_scale2.0x_model.prototxt
@@ -0,0 +1,188 @@
+name: "upconv_7"
+layer {
+  name: "input"
+  type: "Input"
+  top: "input"
+  input_param { shape: { dim: 1 dim: 3 dim: 142 dim: 142 } }
+}
+layer {
+  name: "conv1_layer"
+  type: "Convolution"
+  bottom: "input"
+  top: "conv1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv1_relu_layer"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv2_layer"
+  type: "Convolution"
+  bottom: "conv1"
+  top: "conv2"
+  convolution_param {
+    num_output: 32
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv2_relu_layer"
+  type: "ReLU"
+  bottom: "conv2"
+  top: "conv2"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv3_layer"
+  type: "Convolution"
+  bottom: "conv2"
+  top: "conv3"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv3_relu_layer"
+  type: "ReLU"
+  bottom: "conv3"
+  top: "conv3"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv4_layer"
+  type: "Convolution"
+  bottom: "conv3"
+  top: "conv4"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv4_relu_layer"
+  type: "ReLU"
+  bottom: "conv4"
+  top: "conv4"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv5_layer"
+  type: "Convolution"
+  bottom: "conv4"
+  top: "conv5"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv5_relu_layer"
+  type: "ReLU"
+  bottom: "conv5"
+  top: "conv5"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv6_layer"
+  type: "Convolution"
+  bottom: "conv5"
+  top: "conv6"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv6_relu_layer"
+  type: "ReLU"
+  bottom: "conv6"
+  top: "conv6"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv7_layer"
+  type: "Deconvolution"
+  bottom: "conv6"
+  top: "conv7"
+  convolution_param {
+    num_output: 3
+    kernel_size: 4
+    stride: 2
+    pad: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "target"
+  type: "MemoryData"
+  top: "target"
+  top: "dummy_label2"
+  memory_data_param {
+    batch_size: 1
+    channels: 3
+    height: 142
+    width: 142
+  }
+  include: { phase: TRAIN }
+}
+layer {
+  name: "loss"
+  type: "EuclideanLoss"
+  bottom: "conv7"
+  bottom: "target"
+  top: "loss"
+  include: { phase: TRAIN }
+}
diff --git a/bin/models/upconv_7_anime_style_art_rgb/noise2_scale2.0x_model.prototxt b/bin/models/upconv_7_anime_style_art_rgb/noise2_scale2.0x_model.prototxt
new file mode 100644
index 0000000..ac5f684
--- /dev/null
+++ b/bin/models/upconv_7_anime_style_art_rgb/noise2_scale2.0x_model.prototxt
@@ -0,0 +1,188 @@
+name: "upconv_7"
+layer {
+  name: "input"
+  type: "Input"
+  top: "input"
+  input_param { shape: { dim: 1 dim: 3 dim: 142 dim: 142 } }
+}
+layer {
+  name: "conv1_layer"
+  type: "Convolution"
+  bottom: "input"
+  top: "conv1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv1_relu_layer"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv2_layer"
+  type: "Convolution"
+  bottom: "conv1"
+  top: "conv2"
+  convolution_param {
+    num_output: 32
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv2_relu_layer"
+  type: "ReLU"
+  bottom: "conv2"
+  top: "conv2"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv3_layer"
+  type: "Convolution"
+  bottom: "conv2"
+  top: "conv3"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv3_relu_layer"
+  type: "ReLU"
+  bottom: "conv3"
+  top: "conv3"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv4_layer"
+  type: "Convolution"
+  bottom: "conv3"
+  top: "conv4"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv4_relu_layer"
+  type: "ReLU"
+  bottom: "conv4"
+  top: "conv4"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv5_layer"
+  type: "Convolution"
+  bottom: "conv4"
+  top: "conv5"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv5_relu_layer"
+  type: "ReLU"
+  bottom: "conv5"
+  top: "conv5"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv6_layer"
+  type: "Convolution"
+  bottom: "conv5"
+  top: "conv6"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv6_relu_layer"
+  type: "ReLU"
+  bottom: "conv6"
+  top: "conv6"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv7_layer"
+  type: "Deconvolution"
+  bottom: "conv6"
+  top: "conv7"
+  convolution_param {
+    num_output: 3
+    kernel_size: 4
+    stride: 2
+    pad: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "target"
+  type: "MemoryData"
+  top: "target"
+  top: "dummy_label2"
+  memory_data_param {
+    batch_size: 1
+    channels: 3
+    height: 142
+    width: 142
+  }
+  include: { phase: TRAIN }
+}
+layer {
+  name: "loss"
+  type: "EuclideanLoss"
+  bottom: "conv7"
+  bottom: "target"
+  top: "loss"
+  include: { phase: TRAIN }
+}
diff --git a/bin/models/upconv_7_anime_style_art_rgb/noise3_scale2.0x_model.prototxt b/bin/models/upconv_7_anime_style_art_rgb/noise3_scale2.0x_model.prototxt
new file mode 100644
index 0000000..ac5f684
--- /dev/null
+++ b/bin/models/upconv_7_anime_style_art_rgb/noise3_scale2.0x_model.prototxt
@@ -0,0 +1,188 @@
+name: "upconv_7"
+layer {
+  name: "input"
+  type: "Input"
+  top: "input"
+  input_param { shape: { dim: 1 dim: 3 dim: 142 dim: 142 } }
+}
+layer {
+  name: "conv1_layer"
+  type: "Convolution"
+  bottom: "input"
+  top: "conv1"
+  convolution_param {
+    num_output: 16
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv1_relu_layer"
+  type: "ReLU"
+  bottom: "conv1"
+  top: "conv1"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv2_layer"
+  type: "Convolution"
+  bottom: "conv1"
+  top: "conv2"
+  convolution_param {
+    num_output: 32
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv2_relu_layer"
+  type: "ReLU"
+  bottom: "conv2"
+  top: "conv2"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv3_layer"
+  type: "Convolution"
+  bottom: "conv2"
+  top: "conv3"
+  convolution_param {
+    num_output: 64
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv3_relu_layer"
+  type: "ReLU"
+  bottom: "conv3"
+  top: "conv3"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv4_layer"
+  type: "Convolution"
+  bottom: "conv3"
+  top: "conv4"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv4_relu_layer"
+  type: "ReLU"
+  bottom: "conv4"
+  top: "conv4"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv5_layer"
+  type: "Convolution"
+  bottom: "conv4"
+  top: "conv5"
+  convolution_param {
+    num_output: 128
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv5_relu_layer"
+  type: "ReLU"
+  bottom: "conv5"
+  top: "conv5"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv6_layer"
+  type: "Convolution"
+  bottom: "conv5"
+  top: "conv6"
+  convolution_param {
+    num_output: 256
+    kernel_size: 3
+    stride: 1
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "conv6_relu_layer"
+  type: "ReLU"
+  bottom: "conv6"
+  top: "conv6"
+  relu_param {
+    negative_slope: 0.1
+  }
+}
+layer {
+  name: "conv7_layer"
+  type: "Deconvolution"
+  bottom: "conv6"
+  top: "conv7"
+  convolution_param {
+    num_output: 3
+    kernel_size: 4
+    stride: 2
+    pad: 3
+    weight_filler {
+      type: "gaussian"
+      std: 0.01
+    }
+  }
+}
+layer {
+  name: "target"
+  type: "MemoryData"
+  top: "target"
+  top: "dummy_label2"
+  memory_data_param {
+    batch_size: 1
+    channels: 3
+    height: 142
+    width: 142
+  }
+  include: { phase: TRAIN }
+}
+layer {
+  name: "loss"
+  type: "EuclideanLoss"
+  bottom: "conv7"
+  bottom: "target"
+  top: "loss"
+  include: { phase: TRAIN }
+}
diff --git a/bin/models/upconv_7_anime_style_art_rgb/scale2.0x_model.prototxt b/bin/models/upconv_7_anime_style_art_rgb/scale2.0x_model.prototxt
index 184c049..ac5f684 100644
--- a/bin/models/upconv_7_anime_style_art_rgb/scale2.0x_model.prototxt
+++ b/bin/models/upconv_7_anime_style_art_rgb/scale2.0x_model.prototxt
@@ -11,7 +11,7 @@ layer {
   bottom: "input"
   top: "conv1"
   convolution_param {
-    num_output: 32
+    num_output: 16
     kernel_size: 3
     stride: 1
     weight_filler {
@@ -83,7 +83,7 @@ layer {
   bottom: "conv3"
   top: "conv4"
   convolution_param {
-    num_output: 64
+    num_output: 128
     kernel_size: 3
     stride: 1
     weight_filler {
@@ -131,7 +131,7 @@ layer {
   bottom: "conv5"
   top: "conv6"
   convolution_param {
-    num_output: 128
+    num_output: 256
     kernel_size: 3
     stride: 1
     weight_filler {
@@ -158,7 +158,7 @@ layer {
     num_output: 3
     kernel_size: 4
     stride: 2
-    pad: 1
+    pad: 3
     weight_filler {
       type: "gaussian"
       std: 0.01