diff --git a/DCGAN-PyTorch/01-DCGAN-PL.ipynb b/DCGAN-PyTorch/01-DCGAN-PL.ipynb
index a0973d1262fef6a52b6e176a0affd7823b6f5cfc..ea028f9bcf76c2b665f5492bb51e1d7ff2e5f120 100644
--- a/DCGAN-PyTorch/01-DCGAN-PL.ipynb
+++ b/DCGAN-PyTorch/01-DCGAN-PL.ipynb
@@ -79,7 +79,7 @@
    "source": [
     "latent_dim          = 128\n",
     "    \n",
-    "generator_class     = 'Generator_1'\n",
+    "generator_class     = 'Generator_2'\n",
     "discriminator_class = 'Discriminator_1'    \n",
     "    \n",
     "scale               = .1\n",
@@ -169,7 +169,7 @@
    "outputs": [],
    "source": [
     "print('\\nInstantiation :\\n')\n",
-    "generator     = Generator_1(latent_dim=latent_dim, data_shape=data_shape)\n",
+    "generator     = Generator_2(latent_dim=latent_dim, data_shape=data_shape)\n",
     "discriminator = Discriminator_1(latent_dim=latent_dim, data_shape=data_shape)\n",
     "\n",
     "print('\\nFew tests :\\n')\n",
@@ -308,9 +308,9 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "pytorch-gpu-1.13.0_py3.10.8",
+   "display_name": "fidle-env",
    "language": "python",
-   "name": "module-conda-env-pytorch-gpu-1.13.0_py3.10.8"
+   "name": "python3"
   },
   "language_info": {
    "codemirror_mode": {
@@ -322,7 +322,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.8"
+   "version": "3.9.2"
   },
   "vscode": {
    "interpreter": {
diff --git a/DCGAN-PyTorch/modules/Generators.py b/DCGAN-PyTorch/modules/Generators.py
index 0c49adb051caa8144ce7837ba6ed1e3441c33030..cb187826db83719500650a5042cea4cf170a9dad 100644
--- a/DCGAN-PyTorch/modules/Generators.py
+++ b/DCGAN-PyTorch/modules/Generators.py
@@ -22,7 +22,7 @@ class Generator_1(nn.Module):
         super().__init__()
         self.latent_dim = latent_dim
         self.img_shape  = data_shape
-        print('init generator           : ',latent_dim,' to ',data_shape)
+        print('init generator 1         : ',latent_dim,' to ',data_shape)
 
         self.model = nn.Sequential(
             
@@ -50,4 +50,38 @@ class Generator_1(nn.Module):
     def forward(self, z):
         img = self.model(z)
         img = img.view(img.size(0), *self.img_shape)
-        return img
\ No newline at end of file
+        return img
+
+
+
+class Generator_2(nn.Module):
+
+    def __init__(self, latent_dim=None, data_shape=None):
+        super().__init__()
+        self.latent_dim = latent_dim
+        self.img_shape  = data_shape
+        print('init generator 2         : ',latent_dim,' to ',data_shape)
+
+        self.model = nn.Sequential(
+            
+            nn.Linear(latent_dim, 7*7*64),
+            nn.Unflatten(1, (64,7,7)),
+            
+            nn.UpsamplingBilinear2d( scale_factor=2 ),
+            nn.Conv2d( 64,128, (3,3), stride=(1,1), padding=(1,1) ),
+            nn.ReLU(),
+
+            nn.UpsamplingBilinear2d( scale_factor=2 ),
+            nn.Conv2d( 128,256, (3,3), stride=(1,1), padding=(1,1)),
+            nn.ReLU(),
+
+            nn.Conv2d( 256,1, (5,5), stride=(1,1), padding=(2,2)),
+            nn.Sigmoid()
+
+        )
+
+    def forward(self, z):
+        img = self.model(z)
+        img = img.view(img.size(0), *self.img_shape)
+        return img
+