center_crop variable add to everywhere

app.py

@@ -246,13 +246,13 @@ def start_training(
     commands = [
         "pretrained_model_name_or_path=stabilityai/stable-diffusion-xl-base-1.0",
         "pretrained_vae_model_name_or_path=madebyollin/sdxl-vae-fp16-fix",
-        f"center_crop={bool(True)}",
         f"instance_prompt={concept_sentence}",
         f"dataset_name=./{dataset_folder}",
         "caption_column=prompt",
         f"output_dir={slugged_lora_name}",
         f"mixed_precision={mixed_precision}",
         f"resolution={int(resolution)}",
+        f"center_crop={bool(True)}",
         f"train_batch_size={int(train_batch_size)}",
         f"repeats={int(repeats)}",
         f"gradient_accumulation_steps={int(gradient_accumulation_steps)}",
@@ -393,6 +393,7 @@ def start_training_og(
     text_encoder_learning_rate,
     seed,
     resolution,
+    center_crop,
     num_train_epochs,
     checkpointing_steps,
     prior_loss_weight,
@@ -434,6 +435,7 @@ def start_training_og(
             f"--output_dir={slugged_lora_name}",
             f"--mixed_precision={mixed_precision}",
             f"--resolution={int(resolution)}",
+            f"--center_crop={bool(True)}",
             f"--train_batch_size={int(train_batch_size)}",
             f"--repeats={int(repeats)}",
             f"--gradient_accumulation_steps={int(gradient_accumulation_steps)}",
@@ -1034,6 +1036,7 @@ If you prefer command line, you can run our [training script]({training_script_u
             text_encoder_learning_rate,
             seed,
             resolution,
+            center_crop,
             num_train_epochs,
             checkpointing_steps,
             prior_loss_weight,