Update app.py

app.py

@@ -5,17 +5,9 @@ from diffusers import DiffusionPipeline
 import torch
 from huggingface_hub import login
 import os
-import sys
-import subprocess
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 
-# Install xformers if not already installed
-try:
-    import xformers
-except ImportError:
-    subprocess.check_call([sys.executable, "-m", "pip", "install", "xformers"])
-
 # Set your Hugging Face token
 HUGGINGFACE_TOKEN = os.getenv("HUGGINGFACE_TOKEN")
 login(token=HUGGINGFACE_TOKEN)
@@ -34,7 +26,6 @@ pipeline.load_lora_weights(lora_weights_path)
 
 if device == "cuda":
     pipeline.enable_sequential_cpu_offload()  # Efficient memory usage
-    pipeline.enable_xformers_memory_efficient_attention()  # Enable xformers memory efficient attention
 
 pipeline = pipeline.to(device)