Update Scripts/mainpaperspacev2.py

Scripts/mainpaperspacev2.py

@@ -21,7 +21,6 @@ from math import log, sqrt
 import numpy as np
 
 
-
 def Deps(force_reinstall):
 
     if not force_reinstall and os.path.exists('/usr/local/lib/python3.9/dist-packages/safetensors'):
@@ -59,8 +58,8 @@ def Deps(force_reinstall):
         clear_output()
 
         done()
-    
-    
+
+
 def ntbk():
 
     os.chdir('/notebooks')
@@ -146,13 +145,12 @@ def downloadmodel_lnkv2(CKPT_Link, Custom_Model_Version):
     
     if os.path.exists('model.ckpt'):
       if os.path.getsize("model.ckpt") > 1810671599:
-        wget.download('https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/convertodiffv2.py')
         if Custom_Model_Version=='512':
+          call('wget -q -O convertodiffv2.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertodiffv2.py', shell=True)
           call('python convertodiffv2.py model.ckpt stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1-base', shell=True)
         elif Custom_Model_Version=='768':
+          call('wget -q -O convertodiffv2.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertodiffv2-768.py', shell=True)
           call('python convertodiffv2.py model.ckpt stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1', shell=True)
-          #if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-             #call('wget -q -O stable-diffusion-custom/unet/config.json https://huggingface.co/stabilityai/stable-diffusion-2-1/raw/main/unet/config.json', shell=True)
         call('rm convertodiffv2.py', shell=True)
         if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
           call('rm model.ckpt', shell=True)
@@ -170,8 +168,7 @@ def downloadmodel_lnkv2(CKPT_Link, Custom_Model_Version):
            os.chdir('/notebooks')
            time.sleep(5)
 
-      
-           
+
 
 def dlv2(Path_to_HuggingFace, CKPT_Path, CKPT_Link, Model_Version, Custom_Model_Version):
 
@@ -275,17 +272,16 @@ def sessv2(Session_Name, Session_Link_optional, Model_Version, MODEL_NAMEv2):
 
     elif os.path.exists(MDLPTH):
       print('Session found, loading the trained model ...')
-      call('wget -q -O convertodiff.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/convertodiffv2.py', shell=True)
       if Model_Version=='512':
+        call('wget -q -O convertodiff.py https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/convertodiffv2.py', shell=True)
         print('Session found, loading the trained model ...')
         call('python convertodiff.py '+MDLPTH+' '+OUTPUT_DIR+' --v2 --reference_model stabilityai/stable-diffusion-2-1-base', shell=True)
       elif Model_Version=='768':
+        call('wget -q -O convertodiff.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertodiffv2-768.py', shell=True)
         print('Session found, loading the trained model ...')
         call('python convertodiff.py '+MDLPTH+' '+OUTPUT_DIR+' --v2 --reference_model stabilityai/stable-diffusion-2-1', shell=True) 
-        if os.path.exists(OUTPUT_DIR+'/unet/diffusion_pytorch_model.bin'):
-           call('wget -q -O '+OUTPUT_DIR+'/unet/config.json https://huggingface.co/stabilityai/stable-diffusion-2-1/raw/main/unet/config.json', shell=True)
+
       call('rm convertodiff.py', shell=True)
-        
       if os.path.exists(OUTPUT_DIR+'/unet/diffusion_pytorch_model.bin'):
         resumev2=True
         clear_output()
@@ -302,9 +298,9 @@ def sessv2(Session_Name, Session_Link_optional, Model_Version, MODEL_NAMEv2):
           print('Session created, proceed to uploading instance images')
         
     return PT, WORKSPACE, Session_Name, INSTANCE_NAME, OUTPUT_DIR, SESSION_DIR, CONCEPT_DIR, INSTANCE_DIR, CAPTIONS_DIR, MDLPTH, MODEL_NAMEv2, resumev2
-      
-      
-      
+
+
+
 def done():
     done = widgets.Button(
         description='Done!',
@@ -314,10 +310,9 @@ def done():
         icon='check'
     )
     display(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"):
@@ -347,7 +342,7 @@ def uplder(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDE
     else:
        upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader, ren)
        done()
-    
+
 
 def upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_OPTIONAL, INSTANCE_DIR, CAPTIONS_DIR, uploader, ren):
 
@@ -455,8 +450,9 @@ def upld(Remove_existing_instance_images, Crop_images, Crop_size, IMAGES_FOLDER_
     os.chdir(CAPTIONS_DIR)
     call('find . -name "* *" -type f | rename ' "'s/ /-/g'", shell=True)    
     os.chdir('/notebooks')
-    
-    
+
+
+
 def caption(CAPTIONS_DIR, INSTANCE_DIR):
    
   paths=""
@@ -520,9 +516,8 @@ def caption(CAPTIONS_DIR, INSTANCE_DIR):
   widgets_l.observe(click, names='value')
   display(widgets.HBox([widgets_l, out]))
 
-  
-                    
-    
+
+
 def dbtrainv2(Resume_Training, UNet_Training_Steps, UNet_Learning_Rate, Text_Encoder_Training_Steps, Text_Encoder_Concept_Training_Steps, Text_Encoder_Learning_Rate, Offset_Noise, 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"):