Update app.py

app.py

@@ -124,7 +124,7 @@ def scheduler_swap_callback(pipeline, step_index, timestep, callback_kwargs):
 
 def load_and_prepare_model():
     #vaeXL = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", safety_checker=None, use_safetensors=False).to(device=device, dtype=torch.bfloat16)
-    #vaeRV = AutoencoderKL.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='vae', safety_checker=None, use_safetensors=False).to(device).to(torch.bfloat16) #.to(device=device, dtype=torch.bfloat16)
+    vaeRV = AutoencoderKL.from_pretrained("SG161222/RealVisXL_V5.0", subfolder='vae', safety_checker=None, use_safetensors=False).to(device).to(torch.bfloat16) #.to(device=device, dtype=torch.bfloat16)
     #sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler',beta_schedule="scaled_linear")
     sched = EulerAncestralDiscreteScheduler.from_pretrained('ford442/RealVisXL_V5.0_BF16', subfolder='scheduler')
     pipe = StableDiffusionXLPipeline.from_pretrained(
@@ -134,7 +134,7 @@ def load_and_prepare_model():
       #  low_cpu_mem_usage = False,
         token=HF_TOKEN,
     )
-    #pipe.vae = vaeRV #.to(torch.bfloat16)
+    pipe.vae = vaeRV #.to(torch.bfloat16)
     pipe.scheduler = sched
     #pipe.vae.do_resize=False
     #pipe.vae.vae_scale_factor=8
@@ -288,7 +288,7 @@ def generate_30(
         "num_inference_steps": num_inference_steps,
         "generator": generator,
         "output_type": "pil",
-        "callback_on_step_end": pyx.scheduler_swap_callback
+      #  "callback_on_step_end": pyx.scheduler_swap_callback
     }
     if use_resolution_binning:
         options["use_resolution_binning"] = True
@@ -339,7 +339,7 @@ def generate_60(
         "num_inference_steps": num_inference_steps,
         "generator": generator,
         "output_type": "pil",
-        "callback_on_step_end": scheduler_swap_callback
+     #   "callback_on_step_end": scheduler_swap_callback
     }
     if use_resolution_binning:
         options["use_resolution_binning"] = True
@@ -380,7 +380,7 @@ def generate_90(
         "num_inference_steps": num_inference_steps,
         "generator": generator,
         "output_type": "pil",
-        "callback_on_step_end": scheduler_swap_callback
+      #  "callback_on_step_end": scheduler_swap_callback
     }
     if use_resolution_binning:
         options["use_resolution_binning"] = True