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-rw-r--r--extensions-builtin/Lora/network_hada.py3
-rw-r--r--extensions-builtin/Lora/networks.py1
2 files changed, 1 insertions, 3 deletions
diff --git a/extensions-builtin/Lora/network_hada.py b/extensions-builtin/Lora/network_hada.py
index 15e7ffd8..799bb3bc 100644
--- a/extensions-builtin/Lora/network_hada.py
+++ b/extensions-builtin/Lora/network_hada.py
@@ -27,9 +27,6 @@ class NetworkModuleHada(network_lyco.NetworkModuleLyco):
self.t1 = weights.w.get("hada_t1")
self.t2 = weights.w.get("hada_t2")
- self.alpha = weights.w["alpha"].item() if "alpha" in weights.w else None
- self.scale = weights.w["scale"].item() if "scale" in weights.w else None
-
def calc_updown(self, orig_weight):
w1a = self.w1a.to(orig_weight.device, dtype=orig_weight.dtype)
w1b = self.w1b.to(orig_weight.device, dtype=orig_weight.dtype)
diff --git a/extensions-builtin/Lora/networks.py b/extensions-builtin/Lora/networks.py
index 5b0ddfb6..90374faa 100644
--- a/extensions-builtin/Lora/networks.py
+++ b/extensions-builtin/Lora/networks.py
@@ -271,6 +271,7 @@ def network_apply_weights(self: Union[torch.nn.Conv2d, torch.nn.Linear, torch.nn
updown = torch.nn.functional.pad(updown, (0, 0, 0, 0, 0, 5))
self.weight += updown
+ continue
module_q = net.modules.get(network_layer_name + "_q_proj", None)
module_k = net.modules.get(network_layer_name + "_k_proj", None)