update

app.py

@@ -37,6 +37,7 @@ def monkeypatching(alpha): #, prompt, pipe): finetuned_lora_weights
     return image
 
 def accelerate_train_lora(steps):
+    print("***********inside accelerate_train_lora 11111***********")
     #subprocess.run(accelerate launch {"./train_lora_dreambooth.py"} \
     subprocess.Popen(f'accelerate launch {"./train_lora_dreambooth.py"} \
       --pretrained_model_name_or_path=MODEL_NAME  \
@@ -50,6 +51,7 @@ def accelerate_train_lora(steps):
       --lr_scheduler="constant" \
       --lr_warmup_steps=0 \
       --max_train_steps={steps}' , shell=True) #30000
+    print("***********inside accelerate_train_lora 22222***********")
     return
     
 with gr.Blocks() as demo: