update

app.py

@@ -443,7 +443,8 @@ use_safetensors= False
 # pipe1.scheduler.set_timesteps(50)
 ### 
 pipe2 = PhotoMakerStableDiffusionXLPipeline.from_pretrained(
-    models_dict["Unstable"], torch_dtype=torch.float16, use_safetensors=use_safetensors)
+    #models_dict["Unstable"], torch_dtype=torch.float16, use_safetensors=use_safetensors)
+    models_dict["Unstable"], use_safetensors=use_safetensors)
 pipe2 = pipe2.to('cpu')
 pipe2.load_photomaker_adapter(
     os.path.dirname(photomaker_path),
@@ -456,7 +457,8 @@ pipe2.enable_freeu(s1=0.6, s2=0.4, b1=1.1, b2=1.2)
 pipe2.fuse_lora()
 
 pipe4 = PhotoMakerStableDiffusionXLPipeline.from_pretrained(
-    models_dict["RealVision"], torch_dtype=torch.float16, use_safetensors=True)
+    #models_dict["RealVision"], torch_dtype=torch.float16, use_safetensors=True)
+    models_dict["RealVision"], use_safetensors=True)
 pipe4 = pipe4.to('cpu')
 pipe4.load_photomaker_adapter(
     os.path.dirname(photomaker_path),