(config) make user aware of any problems downloading models

also implement a generic way of reporting issues at the end of installation

scripts/configure_invokeai.py

@@ -18,6 +18,7 @@ from tqdm import tqdm
 from omegaconf import OmegaConf
 from huggingface_hub import HfFolder, hf_hub_url
 from pathlib import Path
+from typing import Union
 from getpass_asterisk import getpass_asterisk
 from transformers import CLIPTokenizer, CLIPTextModel
 from ldm.invoke.globals import Globals
@@ -62,9 +63,9 @@ this program and resume later.\n'''
     )
 
 #--------------------------------------------
-def postscript():
-    print(
-        '''\n** Model Installation Successful **\nYou're all set! You may now launch InvokeAI using one of these two commands:
+def postscript(errors: None):
+    if not any(errors):
+        message='''\n** Model Installation Successful **\nYou're all set! You may now launch InvokeAI using one of these two commands:
 Web version:
     python scripts/invoke.py --web  (connect to http://localhost:9090)
 Command-line version:
@@ -77,7 +78,14 @@ automated installation script, execute "invoke.sh" (Linux/Mac) or
 
 Have fun!
 '''
-)
+
+    else:
+        message=f"\n** There were errors during installation. It is possible some of the models were not fully downloaded.\n"
+        for err in errors:
+            message += f"\t - {err}\n"
+        message += "Please check the logs above and correct any issues."
+
+    print(message)
 
 #---------------------------------------------
 def yes_or_no(prompt:str, default_yes=True):
@@ -521,6 +529,7 @@ def download_safety_checker():
     print('...success',file=sys.stderr)
 
 #-------------------------------------
+def download_weights(opt:dict) -> Union[str, None]:
     # Authenticate to Huggingface using environment variables.
     # If successful, authentication will persist for either interactive or non-interactive use.
     # Default env var expected by HuggingFace is HUGGING_FACE_HUB_TOKEN.
@@ -537,7 +546,8 @@ def download_safety_checker():
             return
         else:
             print('** Cannot download models because no Hugging Face access token could be found. Please re-run without --yes')
-            return
+            return "could not download model weights from Huggingface due to missing or invalid access token"
+
     else:
         choice = user_wants_to_download_weights()
 
@@ -558,6 +568,8 @@ def download_safety_checker():
     print('\n** DOWNLOADING WEIGHTS **')
     successfully_downloaded = download_weight_datasets(models, access_token)
     update_config_file(successfully_downloaded,opt)
+    if len(successfully_downloaded) < len(models):
+        return "some of the model weights downloads were not successful"
 
 #-------------------------------------
 def get_root(root:str=None)->str:
@@ -746,9 +758,12 @@ def main():
            or not os.path.exists(os.path.join(Globals.root,'configs/stable-diffusion/v1-inference.yaml')):
             initialize_rootdir(Globals.root,opt.yes_to_all)
 
+        # Optimistically try to download all required assets. If any errors occur, add them and proceed anyway.
+        errors=set()
+
         if opt.interactive:
             print('** DOWNLOADING DIFFUSION WEIGHTS **')
-            download_weights(opt)
+            errors.add(download_weights(opt))
         print('\n** DOWNLOADING SUPPORT MODELS **')
         download_bert()
         download_clip()
@@ -757,7 +772,7 @@ def main():
         download_codeformer()
         download_clipseg()
         download_safety_checker()
-        postscript()
+        postscript(errors=errors)
     except KeyboardInterrupt:
         print('\nGoodbye! Come back soon.')
     except Exception as e: