Remove xFormers, Add it later after torch and etc version aligning

app.py

@@ -185,13 +185,14 @@ pipe = TryonPipeline.from_pretrained(
 pipe.unet_encoder = UNet_Encoder
 print("✓ TryonPipeline initialized successfully")
 
-# xFormers 메모리 효율적 어텐션 활성화 (메모리 20-30% 감소, 속도 10-20% 향상)
-print("\n[Optimization] Enabling xFormers memory efficient attention...")
-try:
-    pipe.enable_xformers_memory_efficient_attention()
-    print("✓ xFormers memory efficient attention enabled")
-except Exception as e:
-    print(f"⚠ xFormers not available, using default attention: {e}")
+# torch, diffusers 등 버전 정리 후 적용 가능. 
+# # xFormers 메모리 효율적 어텐션 활성화 (메모리 20-30% 감소, 속도 10-20% 향상)
+# print("\n[Optimization] Enabling xFormers memory efficient attention...")
+# try:
+#     pipe.enable_xformers_memory_efficient_attention()
+#     print("✓ xFormers memory efficient attention enabled")
+# except Exception as e:
+#     print(f"⚠ xFormers not available, using default attention: {e}")
 
 print("\n" + "=" * 60)
 print("All models loaded successfully!")

requirements.txt

@@ -14,7 +14,6 @@ matplotlib==3.7.4
 tqdm==4.64.1
 config==0.5.1
 einops==0.7.0
-xformers==0.0.22
 onnxruntime==1.16.2
 basicsr
 av