diff --git a/modules/textual_inversion/logging.py b/modules/textual_inversion/logging.py
index edef48433..d0e52beb7 100644
--- a/modules/textual_inversion/logging.py
+++ b/modules/textual_inversion/logging.py
@@ -2,7 +2,7 @@ import datetime
 import json
 import os
 
-saved_params_shared = {"model_name", "model_hash", "initial_step", "num_of_dataset_images", "learn_rate", "batch_size", "clip_grad_mode", "clip_grad_value", "gradient_step", "data_root", "log_directory", "training_width", "training_height", "steps", "create_image_every", "template_file", "gradient_step", "latent_sampling_method"}
+saved_params_shared = {"model_name", "model_hash", "initial_step", "num_of_dataset_images", "learn_rate", "batch_size", "clip_grad_mode", "clip_grad_value", "gradient_step", "data_root", "log_directory", "training_width", "training_height", "steps", "create_image_every", "template_file", "latent_sampling_method"}
 saved_params_ti = {"embedding_name", "num_vectors_per_token", "save_embedding_every", "save_image_with_stored_embedding"}
 saved_params_hypernet = {"hypernetwork_name", "layer_structure", "activation_func", "weight_init", "add_layer_norm", "use_dropout", "save_hypernetwork_every"}
 saved_params_all = saved_params_shared | saved_params_ti | saved_params_hypernet
@@ -12,13 +12,12 @@ saved_params_previews = {"preview_prompt", "preview_negative_prompt", "preview_s
 def save_settings_to_file(log_directory, all_params):
     now = datetime.datetime.now()
     params = {"datetime": now.strftime("%Y-%m-%d %H:%M:%S")}
-
     keys = saved_params_all
     if all_params.get('preview_from_txt2img'):
         keys = keys | saved_params_previews
-
     params.update({k: v for k, v in all_params.items() if k in keys})
-
-    filename = f'settings.json'
-    with open(os.path.join(log_directory, filename), "w") as file:
+    filename = 'settings.json'
+    fn = os.path.join(log_directory, filename)
+    with open(os.path.join(log_directory, filename), "w", encoding='utf-8') as file:
+        print(f'Training settings file: {fn}')
         json.dump(params, file, indent=2)