correctly detect when an embedding is incompatible with the current model

- Fixed the test for token length; tested on several .pt and .bin files
- Also added a __main__ entrypoint for CLI.py, to make pdb debugging a bit
  more convenient.

ldm/invoke/CLI.py

@@ -1387,3 +1387,7 @@ def check_internet() -> bool:
         return True
     except:
         return False
+
+if __name__ == '__main__':
+    main()
+    

ldm/modules/textual_inversion_manager.py

@@ -84,7 +84,7 @@ class TextualInversionManager:
             return
         elif (
             self.text_encoder.get_input_embeddings().weight.data[0].shape[0]
-            != embedding_info["embedding"].shape[0]
+            != embedding_info['token_dim']
         ):
             print(
                 f"** Notice: {ckpt_path.parents[0].name}/{ckpt_path.name} was trained on a model with a different token dimension. It can't be used with this model."