upd

app.py

@@ -37,7 +37,8 @@ def monkeypatching(alpha): #, prompt, pipe): finetuned_lora_weights
     return image
 
 def accelerate_train_lora(steps):
-    subprocess.run(accelerate launch {"./train_lora_dreambooth.py"} \
+    #subprocess.run(accelerate launch {"./train_lora_dreambooth.py"} \
+    subprocess.Popen(f'accelerate launch {"./train_lora_dreambooth.py"} \
       --pretrained_model_name_or_path=MODEL_NAME  \
       --instance_data_dir=INSTANCE_DIR \
       --output_dir=OUTPUT_DIR \
@@ -48,7 +49,7 @@ def accelerate_train_lora(steps):
       --learning_rate=1e-4 \
       --lr_scheduler="constant" \
       --lr_warmup_steps=0 \
-      --max_train_steps=steps , shell=True) #30000
+      --max_train_steps={steps}' , shell=True) #30000
     return
     
 with gr.Blocks() as demo: