Update app.py

app.py

@@ -109,6 +109,7 @@ def load_and_prepare_model(model_id):
    #  vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae", torch_dtype=torch.float32,safety_checker=None)
   #  vae = AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",safety_checker=None).to(torch.bfloat16)
     #  vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16", safety_checker=None).to('cuda')
+    pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0")
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,
      #  torch_dtype=torch.bfloat16,
@@ -121,7 +122,13 @@ def load_and_prepare_model(model_id):
     pipe.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
     #pipe.to('cuda')
    # pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
-    pipe.to(device=device, dtype=torch.bfloat16)
+
+    pipe.unet = pipeX.unet
+    pipe.to(dtype=torch.bfloat16)
+    pipe.to(device)
+
+    #pipe.to(device, dtype=torch.bfloat16)
+    #del pipeX
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="dpmsolver++")
     #sched = DPMSolverMultistepScheduler.from_config(pipe.scheduler.config, beta_schedule="linear", algorithm_type="dpmsolver++")
     #sched = DDIMScheduler.from_config(pipe.scheduler.config)