Upload mainpaperspaceA1111.py

Scripts/mainpaperspaceA1111.py

@@ -243,44 +243,46 @@ def mdls(Original_Model_Version, Path_to_MODEL, MODEL_LINK, Temporary_Storage):
 
 def loradwn(LoRA_LINK):
 
-    os.makedirs('/notebooks/sd/stable-diffusion-webui/models/Lora', exist_ok=True)
-
-    src=getsrc(LoRA_LINK)
-
-    if src=='civitai':
-        modelname=get_name(LoRA_LINK, False)
-        loramodel=f'/notebooks/sd/stable-diffusion-webui/models/Lora/{modelname}'
-        if not os.path.exists(loramodel):
-          dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model')
-          clear_output()
-        else:
-          print('Model already exists')
-    elif src=='gdrive':
-        modelname=get_name(LoRA_LINK, True)
-        loramodel=f'/notebooks/sd/stable-diffusion-webui/models/Lora/{modelname}'
-        if not os.path.exists(loramodel):
-          gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
-          clear_output()
-        else:
-          print('Model already exists')
+    if LoRA_LINK=='':
+        print('Nothing to do')
     else:
-        modelname=os.path.basename(LoRA_LINK)
-        loramodel=f'/notebooks/sd/stable-diffusion-webui/models/Lora/{modelname}'
-        if not os.path.exists(loramodel):
-          gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
-          clear_output()
+        os.makedirs('/notebooks/sd/stable-diffusion-webui/models/Lora', exist_ok=True)
+
+        src=getsrc(LoRA_LINK)
+
+        if src=='civitai':
+            modelname=get_name(LoRA_LINK, False)
+            loramodel=f'/notebooks/sd/stable-diffusion-webui/models/Lora/{modelname}'
+            if not os.path.exists(loramodel):
+              dwn(LoRA_LINK, loramodel, 'Downloading the LoRA model')
+              clear_output()
+            else:
+              print('Model already exists')
+        elif src=='gdrive':
+            modelname=get_name(LoRA_LINK, True)
+            loramodel=f'/notebooks/sd/stable-diffusion-webui/models/Lora/{modelname}'
+            if not os.path.exists(loramodel):
+              gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
+              clear_output()
+            else:
+              print('Model already exists')
         else:
-          print('Model already exists')
-
-    if os.path.exists(loramodel) :
-      print('LoRA downloaded')
-    else:
-      print('Wrong link, check that the link is valid')
-
+            modelname=os.path.basename(LoRA_LINK)
+            loramodel=f'/notebooks/sd/stable-diffusion-webui/models/Lora/{modelname}'
+            if not os.path.exists(loramodel):
+              gdown.download(url=LoRA_LINK, output=loramodel, quiet=False, fuzzy=True)
+              clear_output()
+            else:
+              print('Model already exists')
+
+        if os.path.exists(loramodel) :
+          print('LoRA downloaded')
+        else:
+          print('Wrong link, check that the link is valid')
 
 
 
-def CN(ControlNet_Model, ControlNet_v2_Model):
+def CNet(ControlNet_Model, ControlNet_XL_Model):
     
     def download(url, model_dir):
 
@@ -310,19 +312,15 @@ def CN(ControlNet_Model, ControlNet_v2_Model):
         os.rename(os.path.join(mdldir, filename), os.path.join(mdldir, renamed))
 
     call('wget -q -O CN_models.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models.txt', shell=True)
-    call('wget -q -O CN_models_v2.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models_v2.txt', shell=True)
-    
+    call('wget -q -O CN_models_XL.txt https://github.com/TheLastBen/fast-stable-diffusion/raw/main/AUTOMATIC1111_files/CN_models_XL.txt', shell=True)
+      
     with open("CN_models.txt", 'r') as f:
         mdllnk = f.read().splitlines()
-    with open("CN_models_v2.txt", 'r') as d:
-        mdllnk_v2 = d.read().splitlines()
-    call('rm CN_models.txt CN_models_v2.txt', shell=True)
+    with open("CN_models_XL.txt", 'r') as d:
+        mdllnk_XL = d.read().splitlines()
+    call('rm CN_models.txt CN_models_XL.txt', shell=True)
     
-    cfgnames=[os.path.basename(url).split('.')[0]+'.yaml' for url in mdllnk_v2]
-    os.chdir('/notebooks/sd/stable-diffusion-webui/extensions/sd-webui-controlnet/models')
-    for name in cfgnames:
-        run(['cp', 'cldm_v21.yaml', name])
-    os.chdir('/notebooks')    
+    os.chdir('/notebooks')
 
     if ControlNet_Model == "All" or ControlNet_Model == "all" :     
       for lnk in mdllnk:
@@ -349,28 +347,28 @@ def CN(ControlNet_Model, ControlNet_v2_Model):
       print('Wrong ControlNet V1 choice, try again')
       wrngv1=True
 
-    if ControlNet_v2_Model == "All" or ControlNet_v2_Model == "all" :
-      for lnk_v2 in mdllnk_v2:
-          download(lnk_v2, mdldir)
+
+    if ControlNet_XL_Model == "All" or ControlNet_XL_Model == "all" :
+      for lnk_XL in mdllnk_XL:
+          download(lnk_XL, mdldir)
       if not wrngv1:
         clear_output()
       done()
 
-    elif ControlNet_v2_Model.isdigit() and int(ControlNet_v2_Model)-1<5:
-      download(mdllnk_v2[int(ControlNet_v2_Model)-1], mdldir)
+    elif ControlNet_XL_Model.isdigit() and int(ControlNet_XL_Model)-1<5:
+      download(mdllnk_XL[int(ControlNet_XL_Model)-1], mdldir)
       if not wrngv1:
         clear_output()
       done()
     
-    elif ControlNet_v2_Model == "none":
+    elif ControlNet_XL_Model == "none":
        pass
        if not wrngv1:
-         clear_output()
+        clear_output()
        done()       
 
     else:
-      print('Wrong ControlNet V2 choice, try again')
-
+      print('Wrong ControlNet XL choice, try again')