Upload mainpaperspaceA1111.py

Scripts/mainpaperspaceA1111.py

@@ -172,6 +172,116 @@ def mdl(Original_Model_Version, Path_to_MODEL, MODEL_LINK, safetensors, Temporar
     return model
 
 
+
+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       
+
+
+    if Path_to_MODEL !='':
+      if os.path.exists(str(Path_to_MODEL)):
+        print('Using the custom model.')
+        model=Path_to_MODEL
+      else:
+          print('Wrong path, check that the path to the model is correct')
+
+    elif MODEL_LINK !="":
+         
+      if src=='civitai':
+         modelname=get_name(MODEL_LINK, False)
+         if Temporary_Storage:
+            model=f'/models/{modelname}'
+         else:
+            model=f'/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
+         dwn(MODEL_LINK, model, 'Downloading the custom model')
+      elif src=='gdrive':
+         modelname=get_name(MODEL_LINK, True)
+         if Temporary_Storage:
+            model=f'/models/{modelname}'
+         else:
+            model=f'/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
+         gdown.download(url=MODEL_LINK, output=model, quiet=False, fuzzy=True)
+      else:
+         modelname=os.path.basename(MODEL_LINK)
+         if Temporary_Storage:
+            model=f'/models/{modelname}'
+         else:
+            model=f'/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion/{modelname}'
+         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 custom 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="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion"
+            print('Wrong model version, try again')
+    try:
+        model
+    except:
+        model="/notebooks/sd/stable-diffusion-webui/models/Stable-diffusion"
+
+    return model
+
+
+
+
 def CN(ControlNet_Model, ControlNet_v2_Model):
     
     def download(url, model_dir):