Update mainpaperspacev1.py

mainpaperspacev1.py

@@ -61,8 +61,8 @@ def Deps(force_reinstall):
 def downloadmodel_hf(Path_to_HuggingFace):
   import wget
 
-  if os.path.exists('/notebooks/stable-diffusion-custom'):
-    call("rm -r /notebooks/stable-diffusion-custom", shell=True)
+  if os.path.exists('/models/stable-diffusion-custom'):
+    call("rm -r /models/stable-diffusion-custom", shell=True)
   clear_output()
   
   if os.path.exists('/notebooks/Fast-Dreambooth/token.txt'):
@@ -72,27 +72,27 @@ def downloadmodel_hf(Path_to_HuggingFace):
   else:
     authe="https://"  
 
-  os.chdir('/notebooks')
   clear_output()
-  call("mkdir /notebooks/stable-diffusion-custom", shell=True)
-  os.chdir("/notebooks/stable-diffusion-custom")
+  call("mkdir /models/stable-diffusion-custom", shell=True)
+  os.chdir("/models/stable-diffusion-custom")
   call("git init", shell=True)
   call("git lfs install --system --skip-repo", shell=True)
   call('git remote add -f origin '+authe+'huggingface.co/'+Path_to_HuggingFace, shell=True)
   call("git config core.sparsecheckout true", shell=True)
   call('echo -e "\nscheduler\ntext_encoder\ntokenizer\nunet\nvae\nmodel_index.json\n!*.safetensors" > .git/info/sparse-checkout', shell=True)
   call("git pull origin main", shell=True)
-  if os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-    call("rm -r /notebooks/stable-diffusion-custom/.git", shell=True)
-    call("rm -r /notebooks/stable-diffusion-custom/model_index.json", shell=True)
+  if os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+    call("rm -r /models/stable-diffusion-custom/.git", shell=True)
+    call("rm -r /models/stable-diffusion-custom/model_index.json", shell=True)
     wget.download('https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/model_index.json')
     os.chdir('/notebooks')
     clear_output()
     done()
-  else:
-    while not os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-          print('Check the link you provided')
-          time.sleep(5)
+
+  while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+        print('Check the link you provided')
+        os.chdir('/notebooks')
+        time.sleep(5)
 
 
          
@@ -109,18 +109,17 @@ def downloadmodel_pth(CKPT_Path):
     call('python /notebooks/convertodiffv1.py '+CKPT_Path+' /models/stable-diffusion-custom --v1', shell=True)
     call('rm /notebooks/convertodiffv1.py', shell=True)
     call('rm -r /notebooks/refmdl', shell=True)
-    if os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+    if os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
       clear_output()
       done()
-    else:
-      call('rm -r /notebooks/stable-diffusion-custom', shell=True)
-      while not os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-        print('Conversion error')
-        time.sleep(5)
+    while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+      print('Conversion error')
+      time.sleep(5)
+      
   else:
     while not os.path.exists(str(CKPT_Path)):
        print('Wrong path, use the colab file explorer to copy the path')
-       time.sleep(5)  
+       time.sleep(5)
        
        
 def downloadmodel_lnk(CKPT_Link): 
@@ -128,43 +127,43 @@ def downloadmodel_lnk(CKPT_Link):
     os.chdir('/notebooks')
     gdown.download(url=CKPT_Link, output="model.ckpt", quiet=False, fuzzy=True)
     
-    if os.path.exists('/notebooks/model.ckpt'):
-      if os.path.getsize("/notebooks/model.ckpt") > 1810671599:
+    if os.path.exists('/models/model.ckpt'):
+      if os.path.getsize("/models/model.ckpt") > 1810671599:
         wget.download('https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/refmdlz')
         call('unzip -o -q refmdlz', shell=True)
         call('rm -f refmdlz', shell=True)
         wget.download('https://raw.githubusercontent.com/TheLastBen/fast-stable-diffusion/main/Dreambooth/convertodiffv1.py')
         clear_output()
-        call('python /notebooks/convertodiffv1.py '+CKPT_Path+' /models/stable-diffusion-custom --v1', shell=True)
+        call('python /notebooks/convertodiffv1.py /models/model.ckpt /models/stable-diffusion-custom --v1', shell=True)
         call('rm /notebooks/convertodiffv1.py', shell=True)
         call('rm -r /notebooks/refmdl', shell=True)
-        if os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+        if os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
           clear_output()
           done()
         else:
-          call('rm -r /notebooks/stable-diffusion-custom', shell=True)
-          while not os.path.exists('/notebooks/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+          call('rm -r /models/stable-diffusion-custom', shell=True)
+          while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
             print('Conversion error')
             time.sleep(5)
       else:
-        while os.path.getsize('/notebooks/model.ckpt') < 1810671599:
+        while os.path.getsize('/models/model.ckpt') < 1810671599:
            print('Wrong link, check that the link is valid')
            time.sleep(5)
-           
+      call('rm -r /models/model.ckpt', shell=True)
            
 def dl(Path_to_HuggingFace, CKPT_Path, CKPT_Link):
 
     if Path_to_HuggingFace != "":
       downloadmodel_hf(Path_to_HuggingFace)
-      MODEL_NAME="/notebooks/stable-diffusion-custom"
+      MODEL_NAME="/models/stable-diffusion-custom"
     elif CKPT_Path !="":
       downloadmodel_pth(CKPT_Path)
-      MODEL_NAME="/notebooks/stable-diffusion-custom"
+      MODEL_NAME="/models/stable-diffusion-custom"
     elif CKPT_Link !="":
       downloadmodel_lnk(CKPT_Link)
-      MODEL_NAME="/notebooks/stable-diffusion-custom"
+      MODEL_NAME="/models/stable-diffusion-custom"
     else:
-      MODEL_NAME="dataset"
+      MODEL_NAME="/datasets/stable-diffusion-diffusers/stable-diffusion-v1-5"
       print('Using the original V1.5 model')
           
     return MODEL_NAME