TheLastBen commited on
Commit
b4d3981
1 Parent(s): 2eb89c1

Update Scripts/mainpaperspacev1.py

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Files changed (1) hide show
  1. Scripts/mainpaperspacev1.py +13 -2
Scripts/mainpaperspacev1.py CHANGED
@@ -181,7 +181,6 @@ def dl(Path_to_HuggingFace, CKPT_Path, CKPT_Link):
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  MODEL_NAME="/datasets/stable-diffusion-diffusers/stable-diffusion-v1-5"
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  print('Using the original V1.5 model')
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- call("sed -i 's@\"sample_size\": 256,@\"sample_size\": 512,@g' "+MODEL_NAME+"/vae/config.json", shell=True)
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  return MODEL_NAME
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@@ -304,6 +303,11 @@ def done():
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  def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, ren):
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  uploader = widgets.FileUpload(description="Choose images",accept='image/*', multiple=True)
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  Upload = widgets.Button(
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  description='Upload',
@@ -500,6 +504,13 @@ def caption(CAPTIONS_DIR, INSTANCE_DIR):
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  def dbtrain(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_NAME, SESSION_DIR, INSTANCE_DIR, CONCEPT_DIR, CAPTIONS_DIR, External_Captions, INSTANCE_NAME, Session_Name, OUTPUT_DIR, PT, resume, Save_Checkpoint_Every_n_Steps, Start_saving_from_the_step, Save_Checkpoint_Every):
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  if resume and not Resume_Training:
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  print('Overwrite your previously trained model ?, answering "yes" will train a new model, answering "no" will resume the training of the previous model?  yes or no ?')
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  while True:
@@ -555,7 +566,7 @@ def dbtrain(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Encod
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  Enable_Text_Encoder_Concept_Training= True
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- if Text_Encoder_Training_Steps==0 or External_Captions:
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  Enable_text_encoder_training= False
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  else:
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  stptxt=Text_Encoder_Training_Steps
 
181
  MODEL_NAME="/datasets/stable-diffusion-diffusers/stable-diffusion-v1-5"
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  print('Using the original V1.5 model')
183
 
 
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  return MODEL_NAME
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303
 
304
  def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, ren):
305
 
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+ if os.path.exists(INSTANCE_DIR+"/.ipynb_checkpoints"):
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+ call('rm -r '+INSTANCE_DIR+'/.ipynb_checkpoints', shell=True)
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+ if os.path.exists(CONCEPT_DIR+"/.ipynb_checkpoints"):
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+ call('rm -r '+CONCEPT_DIR+'/.ipynb_checkpoints', shell=True)
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+
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  uploader = widgets.FileUpload(description="Choose images",accept='image/*', multiple=True)
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  Upload = widgets.Button(
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  description='Upload',
 
504
 
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  def dbtrain(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_NAME, SESSION_DIR, INSTANCE_DIR, CONCEPT_DIR, CAPTIONS_DIR, External_Captions, INSTANCE_NAME, Session_Name, OUTPUT_DIR, PT, resume, Save_Checkpoint_Every_n_Steps, Start_saving_from_the_step, Save_Checkpoint_Every):
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+ if os.path.exists(INSTANCE_DIR+"/.ipynb_checkpoints"):
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+ call('rm -r '+INSTANCE_DIR+'/.ipynb_checkpoints', shell=True)
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+ if os.path.exists(CONCEPT_DIR+"/.ipynb_checkpoints"):
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+ call('rm -r '+CONCEPT_DIR+'/.ipynb_checkpoints', shell=True)
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+ if os.path.exists(CAPTIONS_DIR+"/.ipynb_checkpoints"):
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+ call('rm -r '+CAPTIONS_DIR+'/.ipynb_checkpoints', shell=True)
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+
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  if resume and not Resume_Training:
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  print('Overwrite your previously trained model ?, answering "yes" will train a new model, answering "no" will resume the training of the previous model?  yes or no ?')
516
  while True:
 
566
  Enable_Text_Encoder_Concept_Training= True
567
 
568
 
569
+ if Text_Encoder_Training_Steps==0:
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  Enable_text_encoder_training= False
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  else:
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  stptxt=Text_Encoder_Training_Steps