diff --git a/modules/lora/network_lokr.py b/modules/lora/network_lokr.py
index 096d7f568..0f2328a9e 100644
--- a/modules/lora/network_lokr.py
+++ b/modules/lora/network_lokr.py
@@ -32,7 +32,8 @@ class NetworkModuleLokr(network.NetworkModule): # pylint: disable=abstract-metho
         self.dim = self.w2b.shape[0] if self.w2b is not None else self.dim
         self.t2 = weights.w.get("lokr_t2")
 
-    def calc_updown(self, target):
+    def rebuild_operands(self, target):
+        """The two Kronecker operands on the target's device and dtype, each either stored whole or rebuilt from its factors."""
         if self.w1 is not None:
             w1 = self.w1.to(target.device, dtype=target.dtype)
         else:
@@ -50,8 +51,12 @@ class NetworkModuleLokr(network.NetworkModule): # pylint: disable=abstract-metho
             w2a = self.w2a.to(target.device, dtype=target.dtype)
             w2b = self.w2b.to(target.device, dtype=target.dtype)
             w2 = lyco_helpers.make_weight_cp(t2, w2a, w2b)
+        return w1, w2
+
+    def calc_updown(self, target):
+        w1, w2 = self.rebuild_operands(target)
         output_shape = [w1.size(0) * w2.size(0), w1.size(1) * w2.size(1)]
-        if len(target.shape) == 4:
+        if len(target.shape) == 4: # a conv target keeps its own shape; the chunk variants below only ever address 2-d fused weights
             output_shape = target.shape
         updown = make_kron(output_shape, w1, w2)
         return self.finalize_updown(updown, target, output_shape)
@@ -70,23 +75,7 @@ class NetworkModuleLokrChunk(NetworkModuleLokr):
         self.num_chunks = num_chunks
 
     def calc_updown(self, target):
-        if self.w1 is not None:
-            w1 = self.w1.to(target.device, dtype=target.dtype)
-        else:
-            w1a = self.w1a.to(target.device, dtype=target.dtype)
-            w1b = self.w1b.to(target.device, dtype=target.dtype)
-            w1 = w1a @ w1b
-        if self.w2 is not None:
-            w2 = self.w2.to(target.device, dtype=target.dtype)
-        elif self.t2 is None:
-            w2a = self.w2a.to(target.device, dtype=target.dtype)
-            w2b = self.w2b.to(target.device, dtype=target.dtype)
-            w2 = w2a @ w2b
-        else:
-            t2 = self.t2.to(target.device, dtype=target.dtype)
-            w2a = self.w2a.to(target.device, dtype=target.dtype)
-            w2b = self.w2b.to(target.device, dtype=target.dtype)
-            w2 = lyco_helpers.make_weight_cp(t2, w2a, w2b)
+        w1, w2 = self.rebuild_operands(target)
         full_shape = [w1.size(0) * w2.size(0), w1.size(1) * w2.size(1)]
         updown = make_kron(full_shape, w1, w2)
         updown = torch.chunk(updown, self.num_chunks, dim=0)[self.chunk_index]
@@ -109,23 +98,7 @@ class NetworkModuleLokrSliceChunk(NetworkModuleLokr):
         self.end_row = end_row
 
     def calc_updown(self, target):
-        if self.w1 is not None:
-            w1 = self.w1.to(target.device, dtype=target.dtype)
-        else:
-            w1a = self.w1a.to(target.device, dtype=target.dtype)
-            w1b = self.w1b.to(target.device, dtype=target.dtype)
-            w1 = w1a @ w1b
-        if self.w2 is not None:
-            w2 = self.w2.to(target.device, dtype=target.dtype)
-        elif self.t2 is None:
-            w2a = self.w2a.to(target.device, dtype=target.dtype)
-            w2b = self.w2b.to(target.device, dtype=target.dtype)
-            w2 = w2a @ w2b
-        else:
-            t2 = self.t2.to(target.device, dtype=target.dtype)
-            w2a = self.w2a.to(target.device, dtype=target.dtype)
-            w2b = self.w2b.to(target.device, dtype=target.dtype)
-            w2 = lyco_helpers.make_weight_cp(t2, w2a, w2b)
+        w1, w2 = self.rebuild_operands(target)
         full_shape = [w1.size(0) * w2.size(0), w1.size(1) * w2.size(1)]
         updown = make_kron(full_shape, w1, w2)
         updown = updown[self.start_row:self.end_row]