diff --git a/domainlab/models/interface_vae_xyd.py b/domainlab/models/interface_vae_xyd.py
index adf101b54..95794cad7 100644
--- a/domainlab/models/interface_vae_xyd.py
+++ b/domainlab/models/interface_vae_xyd.py
@@ -27,9 +27,6 @@ def _init_components(self):
         """
         self.add_module("encoder", self.chain_node_builder.build_encoder())
         self.add_module("decoder", self.chain_node_builder.build_decoder())
-        self.add_module("net_p_zy",
-                        self.chain_node_builder.construct_cond_prior(
-                            self.dim_y, self.zy_dim))
 
     def init_p_zx4batch(self, batch_size, device):
         """
diff --git a/domainlab/models/model_hduva.py b/domainlab/models/model_hduva.py
index f22df41e1..1a6a2ee04 100644
--- a/domainlab/models/model_hduva.py
+++ b/domainlab/models/model_hduva.py
@@ -96,30 +96,10 @@ def __init__(self, chain_node_builder,
             super().__init__(chain_node_builder,
                              zd_dim, zy_dim, zx_dim,
                              list_str_y)
-
             # topic to zd follows Gaussian distribution
             self.add_module("net_p_zd",
                             self.chain_node_builder.construct_cond_prior(
-                                self.topic_dim, self.zd_dim))
-
-        # override interface
-        def _init_components(self):
-            """
-            q(z|x)
-            p(zy)
-            q_{classif}(zy)
-            """
-            self.add_module("encoder", self.chain_node_builder.build_encoder(
-                self.device, self.topic_dim))
-            self.add_module("decoder", self.chain_node_builder.build_decoder(
-                self.topic_dim))
-            self.add_module("net_p_zy",
-                            self.chain_node_builder.construct_cond_prior(
-                                self.dim_y, self.zy_dim))
-            self.add_module("net_classif_y",
-                            self.chain_node_builder.construct_classifier(
-                                self.zy_dim, self.dim_y))
-            self._net_classifier = self.net_classif_y
+                                self.topic_dim, self.zd_dim)
 
         def init_p_topic_batch(self, batch_size, device):
             """
diff --git a/domainlab/models/model_vae_xyd_classif.py b/domainlab/models/model_vae_xyd_classif.py
index 0b9917425..af1c73bdf 100644
--- a/domainlab/models/model_vae_xyd_classif.py
+++ b/domainlab/models/model_vae_xyd_classif.py
@@ -33,6 +33,8 @@ def multiplier4task_loss(self):
 
     def _init_components(self):
         super()._init_components()
+        self.add_module("net_p_zy",
+                        self.chain_node_builder.construct_cond_prior(self.dim_y, self.zy_dim))
         self.add_module("net_classif_y",
                         self.chain_node_builder.construct_classifier(
                             self.zy_dim, self.dim_y))