diff --git a/TTS/config/__init__.py b/TTS/config/__init__.py
index e16ee6d3..3ef37820 100644
--- a/TTS/config/__init__.py
+++ b/TTS/config/__init__.py
@@ -1,12 +1,24 @@
 import json
 import os
-
+import re
 import yaml
 
 from TTS.config.shared_configs import *
 from TTS.utils.generic_utils import find_module
 
 
+def read_json_with_comments(json_path):
+    """for backward compat."""
+    # fallback to json
+    with open(json_path, "r", encoding="utf-8") as f:
+        input_str = f.read()
+    # handle comments
+    input_str = re.sub(r"\\\n", "", input_str)
+    input_str = re.sub(r"//.*\n", "\n", input_str)
+    data = json.loads(input_str)
+    return data
+
+
 def _search_configs(model_name):
     config_class = None
     paths = ["TTS.tts.configs", "TTS.vocoder.configs", "TTS.speaker_encoder"]
@@ -16,24 +28,47 @@ def _search_configs(model_name):
         except ModuleNotFoundError:
             pass
     if config_class is None:
-        raise ModuleNotFoundError()
+        raise ModuleNotFoundError(f" [!] Config for {model_name} cannot be found.")
     return config_class
 
 
+def _process_model_name(config_dict):
+    model_name = config_dict["model"] if "model" in config_dict else config_dict["generator_model"]
+    model_name = model_name.replace('_generator', '').replace('_discriminator', '')
+    return model_name
+
+
 def load_config(config_path: str) -> None:
+    """Import `json` or `yaml` files as TTS configs. First, load the input file as a `dict` and check the model name
+    to find the corresponding Config class. Then initialize the Config.
+
+    Args:
+        config_path (str): path to the config file.
+
+    Raises:
+        TypeError: given config file has an unknown type.
+
+    Returns:
+        Coqpit: TTS config object.
+    """
     config_dict = {}
     ext = os.path.splitext(config_path)[1]
     if ext in (".yml", ".yaml"):
         with open(config_path, "r", encoding="utf-8") as f:
             data = yaml.safe_load(f)
     elif ext == ".json":
-        with open(config_path, "r", encoding="utf-8") as f:
-            input_str = f.read()
-        data = json.loads(input_str)
+        try:
+            with open(config_path, "r", encoding="utf-8") as f:
+                input_str = f.read()
+                data = json.loads(input_str)
+        except json.decoder.JSONDecodeError:
+            # backwards compat.
+            data = read_json_with_comments(config_path)
     else:
         raise TypeError(f" [!] Unknown config file type {ext}")
     config_dict.update(data)
-    config_class = _search_configs(config_dict["model"].lower())
+    model_name = _process_model_name(config_dict)
+    config_class = _search_configs(model_name.lower())
     config = config_class()
     config.from_dict(config_dict)
     return config