Replace print with logger if they are logs (#905)

* Add get_my_logger()

* Use logger instead of print

* Fix log level

* Removed line-breaks for readability

* Use setup_logging()

* Add rich to requirements.txt

* Make simple

* Use logger instead of print

---------

Co-authored-by: Kohya S <52813779+kohya-ss@users.noreply.github.com>

train_textual_inversion.py

@@ -32,6 +32,10 @@ from library.custom_train_functions import (
     add_v_prediction_like_loss,
     apply_debiased_estimation,
 )
+from library.utils import setup_logging
+setup_logging()
+import logging
+logger = logging.getLogger(__name__)
 
 imagenet_templates_small = [
     "a photo of a {}",
@@ -178,7 +182,7 @@ class TextualInversionTrainer:
         tokenizers = tokenizer_or_list if isinstance(tokenizer_or_list, list) else [tokenizer_or_list]
 
         # acceleratorを準備する
-        print("prepare accelerator")
+        logger.info("prepare accelerator")
         accelerator = train_util.prepare_accelerator(args)
 
         # mixed precisionに対応した型を用意しておき適宜castする
@@ -288,7 +292,7 @@ class TextualInversionTrainer:
                         ]
                     }
                 else:
-                    print("Train with captions.")
+                    logger.info("Train with captions.")
                     user_config = {
                         "datasets": [
                             {
@@ -736,7 +740,7 @@ class TextualInversionTrainer:
             ckpt_name = train_util.get_last_ckpt_name(args, "." + args.save_model_as)
             save_model(ckpt_name, updated_embs_list, global_step, num_train_epochs, force_sync_upload=True)
 
-            print("model saved.")
+            logger.info("model saved.")
 
 
 def setup_parser() -> argparse.ArgumentParser: