Upload 2 files

Scripts/mainpaperspacev1.py

@@ -20,6 +20,7 @@ from collections import defaultdict
 from math import log, sqrt
 import numpy as np
 
+from urllib.parse import urlparse, parse_qs, unquote
 from urllib.request import urlopen, Request
 import tempfile
 from tqdm import tqdm 
@@ -94,7 +95,7 @@ def depsinst(url, dst):
                 pbar.update(len(buffer))
             f.close()
     
-    
+
 def ntbk():
 
     os.chdir('/notebooks')
@@ -109,6 +110,8 @@ def ntbk():
     os.chdir('/notebooks')
 
 
+
+
 def downloadmodel_hf(Path_to_HuggingFace):
   import wget
 
@@ -171,7 +174,38 @@ def downloadmodel_pth(Model_Path, safetensors):
     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):
+
+  modelname=os.path.basename(MODEL_PATH)
+  sftnsr=""
+  if modelname.split('.')[-1]=='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_lnk(Model_Link, safetensors):
 
@@ -205,6 +239,87 @@ def downloadmodel_lnk(Model_Link, safetensors):
         while os.path.getsize("/models/"+modelnm) < 1810671599:
            print('Wrong link, check that the link is valid')
            time.sleep(5)
+           
+           
+
+def downloadmodel_link(MODEL_LINK):
+
+    import wget
+    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 src=='civitai':
+       modelname=get_name(MODEL_LINK, False)
+    elif src=='gdrive':
+       modelname=get_name(MODEL_LINK, True)
+    else:
+       modelname=os.path.basename(MODEL_LINK)
+
+    sftnsr=""
+    if modelname.split('.')[-1]!='safetensors':
+      modelnm="model.ckpt"
+    else:
+      modelnm="model.safetensors"
+      sftnsr="--from_safetensors"
+
+    os.chdir('/notebooks')
+    call("gdown --fuzzy " +MODEL_LINK+ " -O "+modelnm, shell=True)
+    
+    if os.path.exists(modelnm):
+      if os.path.getsize(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 '+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 '+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(modelnm) < 1810671599:
+           print('Wrong link, check that the link is valid')
+           time.sleep(5)
+
 
            
 def dl(Path_to_HuggingFace, Model_Path, Model_Link, safetensors):
@@ -223,6 +338,26 @@ def dl(Path_to_HuggingFace, Model_Path, Model_Link, safetensors):
       print('Using the original V1.5 model')
 
     return MODEL_NAME
+    
+
+
+def dls(Path_to_HuggingFace, Model_Path, Model_Link):
+
+    if Path_to_HuggingFace != "":
+      downloadmodel_hf(Path_to_HuggingFace)
+      MODEL_NAME="/models/stable-diffusion-custom"
+    elif Model_Path !="":
+      downloadmodel_pth(Model_Path)
+      MODEL_NAME="/models/stable-diffusion-custom"
+    elif Model_Link !="":
+      downloadmodel_lnk(Model_Link)
+      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 sess(Session_Name, Session_Link_optional, MODEL_NAME):

Scripts/mainpaperspacev2.py

@@ -21,6 +21,8 @@ from math import log, sqrt
 import numpy as np
 from subprocess import check_output
 
+
+from urllib.parse import urlparse, parse_qs, unquote
 from urllib.request import urlopen, Request
 import tempfile
 from tqdm import tqdm 
@@ -184,6 +186,51 @@ def downloadmodel_pthv2(Model_Path, safetensors):
        print('Wrong path, use the file explorer to copy the path')
        os.chdir('/notebooks')
        time.sleep(5)
+       
+       
+       
+
+def downloadmodel_path_v2(MODEL_PATH):
+
+  modelname=os.path.basename(MODEL_PATH)
+  sftnsr=""
+  if modelname.split('.')[-1]=='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('/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')
+      os.chdir('/workspace')
+      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('/workspace')
+       time.sleep(5)
+
 
 
 
@@ -237,6 +284,103 @@ def downloadmodel_lnkv2(Model_Link, safetensors):
 
 
 
+
+def downloadmodel_link_v2(MODEL_LINK): 
+
+    import wget
+    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 src=='civitai':
+       modelname=get_name(MODEL_LINK, False)
+    elif src=='gdrive':
+       modelname=get_name(MODEL_LINK, True)
+    else:
+       modelname=os.path.basename(MODEL_LINK)
+
+    sftnsr=""
+    if modelname.split('.')[-1]!='safetensors':
+      modelnm="model.ckpt"
+    else:
+      modelnm="model.safetensors"
+      sftnsr="--from_safetensors"
+
+    os.chdir('/models')
+    call("gdown --fuzzy " +MODEL_LINK+ " -O "+modelnm, shell=True)
+    
+    if os.path.exists(modelnm):
+      if os.path.getsize(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 '+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 '+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('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+          call('rm '+modelnm, shell=True)
+          os.chdir('/workspace')
+          clear_output()
+          done()
+        else:
+            while not os.path.exists('/models/stable-diffusion-custom/unet/diffusion_pytorch_model.bin'):
+              print('Conversion error')
+              os.chdir('/workspace')
+              time.sleep(5)
+    else:
+        while os.path.getsize(modelnm) < 1810671599:
+           print('Wrong link, check that the link is valid')
+           os.chdir('/workspace')
+           time.sleep(5)
+
+
+
+
 def dlv2(Path_to_HuggingFace, Model_Path, Model_Link, Model_Version, safetensors):
 
     if Path_to_HuggingFace != "":
@@ -260,6 +404,35 @@ def dlv2(Path_to_HuggingFace, Model_Path, Model_Link, Model_Version, safetensors
         print('Wrong model version')
 
     return MODEL_NAMEv2
+    
+    
+    
+    
+def dlsv2(Path_to_HuggingFace, Model_Path, Model_Link, Model_Version):
+
+    if Path_to_HuggingFace != "":
+      downloadmodel_hfv2(Path_to_HuggingFace)
+      MODEL_NAMEv2="/models/stable-diffusion-custom"
+    elif Model_Path !="":
+      downloadmodel_pthv2(Model_Path)
+      MODEL_NAMEv2="/models/stable-diffusion-custom"
+    elif Model_Link !="":
+      downloadmodel_lnkv2(Model_Link)
+      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 sessv2(Session_Name, Session_Link_optional, MODEL_NAMEv2):