Upload 4 files

Scripts/mainpaperspaceA1111.py

@@ -125,6 +125,7 @@ def ntbk():
     os.chdir('/notebooks')
 
 
+
 def repo():
 
     print('Installing/Updating the repo...')
@@ -148,57 +149,6 @@ def repo():
     done()
 
 
-def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK, safetensors, Temporary_Storage):
-    import gdown
-    if Path_to_MODEL !='':
-      if os.path.exists(str(Path_to_MODEL)):
-        print('Using the trained model.')
-        model=Path_to_MODEL
-      else:
-          print('Wrong path, check that the path to the model is correct')
-
-    elif MODEL_LINK != "":
-      modelname="model.safetensors" if safetensors else "model.ckpt"
-      if Temporary_Storage:
-         model=f'/models/{modelname}'
-      else:
-         model=f'/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
-      if os.path.exists(model):
-        call('rm '+model, shell=True)
-      gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
-
-      if os.path.exists(model) and os.path.getsize(model) > 1810671599:
-        clear_output()
-        print('Model downloaded, using the trained model.')
-      else:
-        print('Wrong link, check that the link is valid')
-
-    else:
-        if Original_Model_Version == "v1.5":
-           model="/datasets/stable-diffusion-classic/SDv1.5.ckpt"
-           print('Using the original V1.5 model')
-        elif Original_Model_Version == "v2-512":
-           model="/datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base/v2-1_512-nonema-pruned.safetensors"
-           print('Using the original V2-512 model')
-        elif Original_Model_Version == "v2-768":
-           model="/datasets/stable-diffusion-v2-1/stable-diffusion-2-1/v2-1_768-nonema-pruned.safetensors"
-           print('Using the original V2-768 model')
-        elif Original_Model_Version == "SDXL":
-            model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors"
-            if not os.path.exists('/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/sd_xl_base_1.0.safetensors'):
-                print('Downloading SDXL...')
-                call('gdown -O '+model+' https://huggingface.co/stabilityai/stable-diffusion-xl-base-1.0/resolve/main/sd_xl_base_1.0.safetensors', shell=True)
-                clear_output()
-            print('Using the original SDXL model')           
-        else:
-            model=""
-            print('Wrong model version')
-    try:
-        model
-    except:
-        model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion"    
-
-    return model
 
 
 
@@ -207,41 +157,8 @@ def mdls(Original_Model_Version, Path_to_MODEL, MODEL_LINK, Temporary_Storage):
     import gdown
     from gdown.download import get_url_from_gdrive_confirmation    
     
-    def getsrc(url):
-        parsed_url = urlparse(url)
-        if parsed_url.netloc == 'civitai.com':
-            src='civitai'
-        elif parsed_url.netloc == 'drive.google.com':
-            src='gdrive'
-        elif parsed_url.netloc == 'huggingface.co':
-            src='huggingface'
-        else:
-            src='others'
-        return src
-
     src=getsrc(MODEL_LINK)
 
-    def get_name(url, gdrive):
-        if not gdrive:
-            response = requests.get(url, allow_redirects=False)
-            if "Location" in response.headers:
-                redirected_url = response.headers["Location"]
-                quer = parse_qs(urlparse(redirected_url).query)
-                if "response-content-disposition" in quer:
-                    disp_val = quer["response-content-disposition"][0].split(";")
-                    for vals in disp_val:
-                        if vals.strip().startswith("filename="):
-                            filenm=unquote(vals.split("=", 1)[1].strip())
-                            return filenm.replace("\"","")
-        else:
-            headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36"}
-            lnk="https://drive.google.com/uc?id={id}&export=download".format(id=url[url.find("/d/")+3:url.find("/view")])
-            res = requests.session().get(lnk, headers=headers, stream=True, verify=True)
-            res = requests.session().get(get_url_from_gdrive_confirmation(res.text), headers=headers, stream=True, verify=True)
-            content_disposition = six.moves.urllib_parse.unquote(res.headers["Content-Disposition"])
-            filenm = re.search(r"filename\*=UTF-8''(.*)", content_disposition).groups()[0].replace(os.path.sep, "_")
-            return filenm       
-
     call('ln -s /datasets/stable-diffusion-classic/SDv1.5.ckpt /notebooks/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
     call('ln -s /datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base/v2-1_512-nonema-pruned.safetensors /notebooks/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
     call('ln -s /datasets/stable-diffusion-v2-1/stable-diffusion-2-1/v2-1_768-nonema-pruned.safetensors /notebooks/sd/stable-diffusion-webui/models/Stable-diffusion', shell=True, stdout=open('/dev/null', 'w'), stderr=open('/dev/null', 'w'))
@@ -326,6 +243,45 @@ 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')
+    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()
+        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 download(url, model_dir):
@@ -470,6 +426,44 @@ def sdui(User, Password, model):
     return configf    
     
     
+
+def getsrc(url):
+    parsed_url = urlparse(url)
+    if parsed_url.netloc == 'civitai.com':
+        src='civitai'
+    elif parsed_url.netloc == 'drive.google.com':
+        src='gdrive'
+    elif parsed_url.netloc == 'huggingface.co':
+        src='huggingface'
+    else:
+        src='others'
+    return src
+
+
+
+def get_name(url, gdrive):
+    if not gdrive:
+        response = requests.get(url, allow_redirects=False)
+        if "Location" in response.headers:
+            redirected_url = response.headers["Location"]
+            quer = parse_qs(urlparse(redirected_url).query)
+            if "response-content-disposition" in quer:
+                disp_val = quer["response-content-disposition"][0].split(";")
+                for vals in disp_val:
+                    if vals.strip().startswith("filename="):
+                        filenm=unquote(vals.split("=", 1)[1].strip())
+                        return filenm.replace("\"","")
+    else:
+        headers = {"User-Agent": "Mozilla/5.0 (Macintosh; Intel Mac OS X 10_10_1) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/39.0.2171.95 Safari/537.36"}
+        lnk="https://drive.google.com/uc?id={id}&export=download".format(id=url[url.find("/d/")+3:url.find("/view")])
+        res = requests.session().get(lnk, headers=headers, stream=True, verify=True)
+        res = requests.session().get(get_url_from_gdrive_confirmation(res.text), headers=headers, stream=True, verify=True)
+        content_disposition = six.moves.urllib_parse.unquote(res.headers["Content-Disposition"])
+        filenm = re.search(r"filename\*=UTF-8''(.*)", content_disposition).groups()[0].replace(os.path.sep, "_")
+        return filenm
+    
+    
+    
 def done():
     done = widgets.Button(
         description='Done!',

Scripts/mainpaperspacev1.py

@@ -151,34 +151,6 @@ def downloadmodel_hf(Path_to_HuggingFace):
 
 
 
-def downloadmodel_pth(Model_Path, safetensors):
-  
-  sftnsr=""
-  if safetensors:
-    sftnsr="--from_safetensors"
-
-  import wget
-  os.chdir('/notebooks')
-  clear_output() 
-  if os.path.exists(str(Model_Path)):
-    call('wget -q -O config.yaml https://github.com/CompVis/stable-diffusion/raw/main/configs/stable-diffusion/v1-inference.yaml', shell=True)
-    call('python /diffusers/scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path '+Model_Path+' --dump_path /models/stable-diffusion-custom --original_config_file config.yaml '+sftnsr, shell=True)
-    clear_output()
-
-    call('rm config.yaml', shell=True)
-    if os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-      clear_output()
-      done()
-    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(Model_Path)):
-       print('Wrong path, use the file explorer to copy the path')
-       time.sleep(5)
-
-
-
 
 def downloadmodel_path(MODEL_PATH):
 
@@ -207,41 +179,7 @@ def downloadmodel_path(MODEL_PATH):
        print('Wrong path, use the file explorer to copy the path')
        time.sleep(5)       
        
-
-       
-def downloadmodel_lnk(Model_Link, safetensors):
-
-    sftnsr=""
-    if not safetensors:
-      modelnm="model.ckpt"
-    else:
-      modelnm="model.safetensors"
-      sftnsr="--from_safetensors"
-
-    import wget
-    os.chdir('/notebooks')
-    call("gdown --fuzzy " +Model_Link+ " -O /models/"+modelnm, shell=True)
-
-    if os.path.exists("/models/"+modelnm):
-      if os.path.getsize("/models/"+modelnm) > 1810671599:
-        call('wget -q -O config.yaml https://github.com/CompVis/stable-diffusion/raw/main/configs/stable-diffusion/v1-inference.yaml', shell=True)
-        call('python /diffusers/scripts/convert_original_stable_diffusion_to_diffusers.py --checkpoint_path /models/'+modelnm+' --dump_path /models/stable-diffusion-custom --original_config_file config.yaml '+sftnsr, shell=True)
-        clear_output()
-        
-        call('rm config.yaml', shell=True)
-        if os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-          call('rm /models/'+modelnm, shell=True)
-          clear_output()
-          done()
-        else:
-          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("/models/"+modelnm) < 1810671599:
-           print('Wrong link, check that the link is valid')
-           time.sleep(5)
-           
+ 
            
 
 def downloadmodel_link(MODEL_LINK):
@@ -324,24 +262,6 @@ def downloadmodel_link(MODEL_LINK):
 
 
            
-def dl(Path_to_HuggingFace, Model_Path, Model_Link, safetensors):
-
-    if Path_to_HuggingFace != "":
-      downloadmodel_hf(Path_to_HuggingFace)
-      MODEL_NAME="/models/stable-diffusion-custom"
-    elif Model_Path !="":
-      downloadmodel_pth(Model_Path, safetensors)
-      MODEL_NAME="/models/stable-diffusion-custom"
-    elif Model_Link !="":
-      downloadmodel_lnk(Model_Link, safetensors)
-      MODEL_NAME="/models/stable-diffusion-custom"
-    else:
-      MODEL_NAME="/datasets/stable-diffusion-diffusers/stable-diffusion-v1-5"
-      print('Using the original V1.5 model')
-
-    return MODEL_NAME
-    
-
 
 def dls(Path_to_HuggingFace, Model_Path, Model_Link):
 

Scripts/mainpaperspacev2.py

@@ -113,6 +113,7 @@ def ntbk():
     os.chdir('/notebooks')
 
 
+
 def downloadmodel_hfv2(Path_to_HuggingFace):
   import wget
 
@@ -148,48 +149,7 @@ def downloadmodel_hfv2(Path_to_HuggingFace):
 
 
 
-def downloadmodel_pthv2(Model_Path, safetensors):
-
-  sftnsr=""
-  if safetensors:
-    sftnsr="--from_safetensors"
 
-  import wget
-  os.chdir('/models')
-  clear_output()
-  if os.path.exists(str(Model_Path)):
-
-    wget.download('https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/det.py')
-    print('Detecting model version...')
-    Custom_Model_Version=check_output('python det.py '+sftnsr+' --MODEL_PATH '+Model_Path, shell=True).decode('utf-8').replace('\n', '')
-    clear_output()
-    print(''+Custom_Model_Version+' Detected')    
-    call('rm det.py', shell=True)  
-  
-    if Custom_Model_Version=='V2.1-512px':
-      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_Path+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1-base '+sftnsr, shell=True)
-    elif Custom_Model_Version=='V2.1-768px':
-      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_Path+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1 '+sftnsr, shell=True)
-
-    call('rm convertodiffv2.py', shell=True)
-    if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-      os.chdir('/notebooks')
-      clear_output()
-      done()
-    while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-      print('Conversion error')
-      os.chdir('/notebooks')
-      time.sleep(5)
-  else:
-    while not os.path.exists(str(Model_Path)):
-       print('Wrong path, use the file explorer to copy the path')
-       os.chdir('/notebooks')
-       time.sleep(5)
-       
-       
-       
 
 def downloadmodel_path_v2(MODEL_PATH):
 
@@ -235,57 +195,6 @@ def downloadmodel_path_v2(MODEL_PATH):
 
 
 
-def downloadmodel_lnkv2(Model_Link, safetensors): 
-
-    sftnsr=""
-    if not safetensors:
-      modelnm="model.ckpt"
-    else:
-      modelnm="model.safetensors"
-      sftnsr="--from_safetensors"
-
-    import wget
-    os.chdir('/models')
-    call("gdown --fuzzy " +Model_Link+ " -O /models/"+modelnm, shell=True)
-    
-    if os.path.exists("/models/"+modelnm):
-      if os.path.getsize("/models/"+modelnm) > 1810671599:
-      
-        wget.download('https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/det.py')
-        print('Detecting model version...')
-        Custom_Model_Version=check_output('python det.py '+sftnsr+' --MODEL_PATH '+modelnm, shell=True).decode('utf-8').replace('\n', '')
-        clear_output()
-        print(''+Custom_Model_Version+' Detected')
-        call('rm det.py', shell=True)      
-      
-        if Custom_Model_Version=='V2.1-512px':
-          call('wget -q -O convertodiffv2.py https://github.com/TheLastBen/fast-stable-diffusion/raw/main/Dreambooth/convertodiffv2.py', shell=True)
-          call('python convertodiffv2.py /models/'+modelnm+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1-base '+sftnsr, shell=True)
-          
-        elif Custom_Model_Version=='V2.1-768px':
-          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 /models/'+modelnm+' stable-diffusion-custom --v2 --reference_model stabilityai/stable-diffusion-2-1 '+sftnsr, shell=True)
-        call('rm convertodiffv2.py', shell=True)
-        
-        if os.path.exists('stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-          call('rm /models/'+modelnm, shell=True)
-          os.chdir('/notebooks')
-          clear_output()
-          done()
-        else:
-            while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
-              print('Conversion error')
-              os.chdir('/notebooks')
-              time.sleep(5)
-    else:
-        while os.path.getsize("/models/"+modelnm) < 1810671599:
-           print('Wrong link, check that the link is valid')
-           os.chdir('/notebooks')
-           time.sleep(5)
-
-
-
-
 def downloadmodel_link_v2(MODEL_LINK): 
 
     import wget
@@ -381,33 +290,6 @@ def downloadmodel_link_v2(MODEL_LINK):
 
 
 
-
-def dlv2(Path_to_HuggingFace, Model_Path, Model_Link, Model_Version, safetensors):
-
-    if Path_to_HuggingFace != "":
-      downloadmodel_hfv2(Path_to_HuggingFace)
-      MODEL_NAMEv2="/models/stable-diffusion-custom"
-    elif Model_Path !="":
-      downloadmodel_pthv2(Model_Path, safetensors)
-      MODEL_NAMEv2="/models/stable-diffusion-custom"
-    elif Model_Link !="":
-      downloadmodel_lnkv2(Model_Link, safetensors)
-      MODEL_NAMEv2="/models/stable-diffusion-custom"
-    else:
-      if Model_Version=="512":
-        MODEL_NAMEv2="/datasets/stable-diffusion-v2-1-base-diffusers/stable-diffusion-2-1-base"
-        print('Using the original V2-512 model')
-      elif Model_Version=="768":
-        MODEL_NAMEv2="/datasets/stable-diffusion-v2-1/stable-diffusion-2-1"
-        print('Using the original V2-768 model')
-      else:
-        MODEL_NAMEv2=""
-        print('Wrong model version')
-
-    return MODEL_NAMEv2
-    
-    
-    
     
 def dlsv2(Path_to_HuggingFace, Model_Path, Model_Link, Model_Version):