Merge branch 'main' of https://github.com/KohakuBlueleaf/a1111-sd-web…

…ui-locon

README.md

@@ -9,12 +9,5 @@ https://github.com/KohakuBlueleaf/LyCORIS
 Install and use locon model as lora model. <br>
 Make sure your sd-webui has built-in lora
 
-### Additional Network
-**LoHa and LoCon with cp decomposition is not supported yet**
-You can load LoCon model in kohya-ss' additional network extension.<br>
-Just install addnet ext and then install this ext.<br>
-Finally, use locon model as lora model.<br>
-<br>
-**This ext support dynamic rank lora/locon, just ignore the dim/alpha info printed out**
 ![image](https://user-images.githubusercontent.com/59680068/222327303-9ba4f702-5821-48db-a849-337dce9b11bb.png)
 ![image](https://user-images.githubusercontent.com/59680068/222327306-564ef3e1-5c82-488c-b8f5-2293898bed22.png)

scripts/main.py

@@ -211,6 +211,7 @@ def inference(self, x):
             ).reshape(self.shape)
             return self.op(
                 x, rebuild_weight,
+                bias=None,
                 **self.extra_args
             )
         else:
@@ -254,13 +255,15 @@ def inference(self, x):
             return self.op(
                 x,
                 ((self.w1a @ self.w1b) * (self.w2a @ self.w2b) + bias).view(self.shape),
+                bias=None,
                 **self.extra_args
             )
         else:
             return self.op(
                 x,
                 (pro3(self.t1, self.w1a, self.w1b) 
                  * pro3(self.t2, self.w2a, self.w2b) + bias).view(self.shape),
+                bias=None,
                 **self.extra_args
             )