Update app.py

app.py

@@ -141,7 +141,8 @@ def load_and_prepare_model(model_id):
       #  scheduler = EulerAncestralDiscreteScheduler.from_config(pipeX.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
         #scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset =1)
     )
-    pipe.unet=UNet2DConditionModel.from_pretrained('ford442/RealVisXL_V5.0_FP64',subfolder='unet').to(torch.bfloat16)
+    #pipe.unet=UNet2DConditionModel.from_pretrained('ford442/RealVisXL_V5.0_FP64',subfolder='unet').to(torch.bfloat16)
+    #pipe.unet=UNet2DConditionModel.from_pretrained('SG161222/RealVisXL_V5.0',subfolder='unet').to(torch.bfloat16)
     #pipe.vae = AsymmetricAutoencoderKL.from_pretrained('cross-attention/asymmetric-autoencoder-kl-x-2').to(torch.bfloat16)   #  ,use_safetensors=True  FAILS
     pipe.vae = AutoencoderKL.from_pretrained('ford442/Juggernaut-XI-v11-fp32',subfolder='vae').to(torch.bfloat16)   #  ,use_safetensors=True  FAILS
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear",use_karras_sigmas=True, algorithm_type="dpmsolver++")
@@ -161,7 +162,7 @@ def load_and_prepare_model(model_id):
     
     #apply_hidiffusion(pipe)
 
-    #pipe.unet.set_default_attn_processor()
+    pipe.unet.set_default_attn_processor()
     pipe.vae.set_default_attn_processor()
     
     print(f'Pipeline: ')
@@ -219,7 +220,7 @@ def uploadNote():
         f.write(f"Use Model Dtype: no \n")
         f.write(f"Model Scheduler: Euler_a custom before cuda \n")
         f.write(f"Model VAE: juggernaut to bfloat before cuda then attn_proc \n")
-        f.write(f"Model UNET: default ford442/RealVisXL_V5.0_FP64 to bfloat before cuda\n")
+        f.write(f"Model UNET: default  to bfloat before cuda then attn_proc \n")
         f.write(f"Model HiDiffusion OFF \n")
         f.write(f"Model do_resize OFF \n")
     upload_to_ftp(filename)