Update Scripts/mainpaperspacev2.py

Scripts/mainpaperspacev2.py

@@ -626,7 +626,7 @@ def dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Enc
         --lr_warmup_steps=0 \
         --max_train_steps='+str(Training_Steps), shell=True)
         
-    def train_only_unet(stp, stpsv, SESSION_DIR, MODELT_NAME, INSTANCE_DIR, OUTPUT_DIR, Text_Encoder_Training_Steps, PT, Seed, Resolution, Style, extrnlcptn, precision, Training_Steps):
+    def train_only_unet(stp, stpsv, SESSION_DIR, MODELT_NAME, INSTANCE_DIR, OUTPUT_DIR, Text_Encoder_Training_Steps, PT, Seed, Resolution, extrnlcptn, precision, Training_Steps):
         clear_output()
         if resuming=="Yes":
           print('Resuming Training...')    
@@ -685,7 +685,7 @@ def dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Enc
           time.sleep(8)
       
     if UNet_Training_Steps!=0:
-      train_only_unet(stp, stpsv, SESSION_DIR, MODELT_NAME, INSTANCE_DIR, OUTPUT_DIR, Text_Encoder_Training_Steps, PT, Seed, Resolution, Style, extrnlcptn, precision, Training_Steps=UNet_Training_Steps)
+      train_only_unet(stp, stpsv, SESSION_DIR, MODELT_NAME, INSTANCE_DIR, OUTPUT_DIR, Text_Encoder_Training_Steps, PT, Seed, Resolution, extrnlcptn, precision, Training_Steps=UNet_Training_Steps)
 
     if UNet_Training_Steps==0 and Text_Encoder_Concept_Training_Steps==0 and Text_Encoder_Training_Steps==0 :
       print('Nothing to do')