Update Scripts/mainpaperspacev2.py

Scripts/mainpaperspacev2.py

@@ -321,6 +321,11 @@ def done():
       
 def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, ren):
 
+    if os.path.exists(INSTANCE_DIR+"/.ipynb_checkpoints"):
+      call('rm -r '+INSTANCE_DIR+'/.ipynb_checkpoints', shell=True)
+    if os.path.exists(CONCEPT_DIR+"/.ipynb_checkpoints"):
+      call('rm -r '+CONCEPT_DIR+'/.ipynb_checkpoints', shell=True)
+
     uploader = widgets.FileUpload(description="Choose images",accept='image/*', multiple=True)
     Upload = widgets.Button(
         description='Upload',
@@ -516,6 +521,13 @@ def caption(CAPTIONS_DIR, INSTANCE_DIR):
     
 def dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Encoder_Training_Steps, Text_Encoder_Concept_Training_Steps, Text_Encoder_Learning_Rate, Style_Training, Resolution, MODEL_NAMEv2, SESSION_DIR, INSTANCE_DIR, CONCEPT_DIR, CAPTIONS_DIR, External_Captions,  INSTANCE_NAME, Session_Name, OUTPUT_DIR, PT, resumev2, Save_Checkpoint_Every_n_Steps, Start_saving_from_the_step, Save_Checkpoint_Every):
 
+    if os.path.exists(INSTANCE_DIR+"/.ipynb_checkpoints"):
+      call('rm -r '+INSTANCE_DIR+'/.ipynb_checkpoints', shell=True)
+    if os.path.exists(CONCEPT_DIR+"/.ipynb_checkpoints"):
+      call('rm -r '+CONCEPT_DIR+'/.ipynb_checkpoints', shell=True)
+    if os.path.exists(CAPTIONS_DIR+"/.ipynb_checkpoints"):
+      call('rm -r '+CAPTIONS_DIR+'/.ipynb_checkpoints', shell=True)
+
     if resumev2 and not Resume_Training:
       print('Overwrite your previously trained model ?, answering "yes" will train a new model, answering "no" will resumev2 the training of the previous model?  yes or no ?')
       while True:
@@ -571,7 +583,7 @@ def dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Enc
     Enable_Text_Encoder_Concept_Training= True
     
 
-    if Text_Encoder_Training_Steps==0 or External_Captions:
+    if Text_Encoder_Training_Steps==0:
        Enable_text_encoder_training= False
     else:
       stptxt=Text_Encoder_Training_Steps