use torch-cu117 from download.torch.org rather than pypi (#2492)

This PR forces the installer to install the official torch-cu117 wheel
from download.torch.org, rather than relying on PyPi.org to return the
correct version. It ought to correct the problems that some people have
experienced with cuda support not being installed.

installer/installer.py

@@ -447,6 +447,7 @@ def get_torch_source() -> (Union[str, None],str):
             url = "https://download.pytorch.org/whl/cpu"
 
     if device == 'cuda':
+        url = 'https://download.pytorch.org/whl/cu117'
         optional_modules = '[xformers]'
 
     # in all other cases, Torch wheels should be coming from PyPi as of Torch 1.13

installer/templates/invoke.bat.in

@@ -13,7 +13,7 @@ echo 3. run textual inversion training
 echo 4. merge models (diffusers type only)
 echo 5. re-run the configure script to download new models
 echo 6. open the developer console
-set /P restore="Please enter 1, 2, 3, 4 or 5: [5] "
+set /P restore="Please enter 1, 2, 3, 4 or 5: [2] "
 if not defined restore set restore=2
 IF /I "%restore%" == "1" (
     echo Starting the InvokeAI command-line..

ldm/invoke/config/configure_invokeai.py

@@ -320,6 +320,8 @@ You may re-run the configuration script again in the future if you do not wish t
         while again:
             try:
                 access_token = getpass_asterisk.getpass_asterisk(prompt="HF Token ❯ ")
+                if access_token is None or len(access_token)==0:
+                    raise EOFError
                 HfLogin(access_token)
                 access_token = HfFolder.get_token()
                 again = False