update acelerate launch scripts

app.py

@@ -61,21 +61,7 @@ def accelerate_train_lora(steps, images, in_prompt):
         os.makedirs(INSTANCE_DIR, exist_ok=True)
         shutil.copy( file.name, INSTANCE_DIR) #/{file.orig_name}
     #subprocess.Popen(f'accelerate launch {"./train_lora_dreambooth.py"} \
-    os.system( f"accelerate launch {'./train_lora_dreambooth.py'} \
-      --pretrained_model_name_or_path={MODEL_NAME}  \
-      --instance_data_dir={INSTANCE_DIR} \
-      --output_dir={OUTPUT_DIR} \
-      --instance_prompt='disney baby lion' \
-      --train_text_encoder \
-      --resolution=512 \
-      --train_batch_size=1 \
-      --gradient_accumulation_steps=1 \
-      --learning_rate='1e-4' \
-      --learning_rate_text='5e-5' \
-      --color_jitter \
-      --lr_scheduler='constant' \
-      --lr_warmup_steps=0 \
-      --max_train_steps={int(steps)}") #10000
+    os.system( f"accelerate launch {'./train_lora_dreambooth.py'} --pretrained_model_name_or_path={MODEL_NAME} --instance_data_dir={INSTANCE_DIR} --output_dir={OUTPUT_DIR} --instance_prompt='{in_prompt}' --train_text_encoder --resolution=512 --train_batch_size=1 --gradient_accumulation_steps=1 --learning_rate='1e-4' --learning_rate_text='5e-5' --color_jitter --lr_scheduler='constant' --lr_warmup_steps=0 --max_train_steps={int(steps)}") #10000
     print("*********** completing accelerate_train_lora ***********")
     print(f"files in output_dir -- {os.listdir(OUTPUT_DIR)}")
     #lora_trained_weights = "./output_example/lora_weight.pt"