Update app.py

app.py

@@ -110,10 +110,10 @@ def load_and_prepare_model(model_id):
     #vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",use_safetensors=True, torch_dtype=torch.float32,safety_checker=None).to(device).to(torch.bfloat16)
   #  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",use_safetensors=True, torch_dtype=torch.float32)
+    pipeX = StableDiffusionXLPipeline.from_pretrained("SG161222/RealVisXL_V5.0",use_safetensors=True)
     pipe = StableDiffusionXLPipeline.from_pretrained(
         model_id,
-        #torch_dtype=torch.bfloat16,
+        torch_dtype=torch.bfloat16,
        # add_watermarker=False,
         use_safetensors=True,
      #  vae=AutoencoderKL.from_pretrained("BeastHF/MyBack_SDXL_Juggernaut_XL_VAE/MyBack_SDXL_Juggernaut_XL_VAE_V10(version_X).safetensors",repo_type='model',safety_checker=None),
@@ -124,14 +124,17 @@ 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.scheduler = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", beta_start=0.00085, beta_end=0.012, steps_offset=1)
+    #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.vae=vae
    # pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
     #pipe.to(dtype=torch.bfloat16)
     pipe.unet = pipeX.unet
     pipe.to(device)
-    pipe.to(torch.bfloat16)
+    pipe.unet.to(torch.bfloat16)
+    pipe.vae.to(torch.bfloat16)
+    pipe.scheduler=EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config)
+    #pipe.to(torch.bfloat16)
     #pipe.to(device, torch.bfloat16)
     del pipeX
     #sched = EulerAncestralDiscreteScheduler.from_config(pipe.scheduler.config, beta_schedule="scaled_linear", algorithm_type="dpmsolver++")