Update merged_app2.py

merged_app2.py

@@ -18,7 +18,7 @@ import numpy as np
 import torch
 import safetensors.torch as sf
 import datetime
-from pathlib import Path
+from pathlib import Paths
 from io import BytesIO
 
 from PIL import Image
@@ -493,7 +493,7 @@ pipe = prepare_pipeline(
 
 pipe.enable_model_cpu_offload()
 pipe.enable_vae_slicing()
-pipe.enable_xformers_memory_efficient_attention()
+#pipe.enable_xformers_memory_efficient_attention()
 
 # Move models to device with consistent dtype
 text_encoder = text_encoder.to(device=device, dtype=dtype)
@@ -545,7 +545,7 @@ t2i_pipe = StableDiffusionPipeline(
 
 t2i_pipe.enable_model_cpu_offload()
 t2i_pipe.enable_vae_slicing()
-t2i_pipe.enable_xformers_memory_efficient_attention()
+#t2i_pipe.enable_xformers_memory_efficient_attention()
 
 i2i_pipe = StableDiffusionImg2ImgPipeline(
     vae=vae,
@@ -561,7 +561,7 @@ i2i_pipe = StableDiffusionImg2ImgPipeline(
 
 i2i_pipe.enable_model_cpu_offload()
 i2i_pipe.enable_vae_slicing()
-i2i_pipe.enable_xformers_memory_efficient_attention()
+#i2i_pipe.enable_xformers_memory_efficient_attention()
 
 @torch.inference_mode()
 def encode_prompt_inner(txt: str):