Update app.py

app.py

@@ -106,8 +106,8 @@ def apply_style(style_name: str, positive: str, negative: str = "") -> Tuple[str
 def load_and_prepare_model(model_id):
     model_dtypes = {"ford442/RealVisXL_V5.0_BF16": torch.bfloat16,}
     dtype = model_dtypes.get(model_id, torch.bfloat16)  # Default to float32 if not found
-    #vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",use_safetensors=True,safety_checker=None)
-    vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",use_safetensors=True,safety_checker=None)
+    vae = AutoencoderKL.from_pretrained("ford442/sdxl-vae-bf16",use_safetensors=True,safety_checker=None)
+    #vae = AutoencoderKL.from_pretrained("stabilityai/sdxl-vae",use_safetensors=True,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",use_safetensors=True)
@@ -458,14 +458,14 @@ with gr.Blocks(theme=gr.themes.Origin(),css=css) as demo:
                 minimum=448,
                 maximum=MAX_IMAGE_SIZE,
                 step=64,
-                value=1024,
+                value=768,
             )
             height = gr.Slider(
                 label="Height",
                 minimum=448,
                 maximum=MAX_IMAGE_SIZE,
                 step=64,
-                value=1024,
+                value=768,
             )
         with gr.Row():
             guidance_scale = gr.Slider(
@@ -480,7 +480,7 @@ with gr.Blocks(theme=gr.themes.Origin(),css=css) as demo:
                 minimum=10,
                 maximum=1000,
                 step=10,
-                value=140,
+                value=150,
             )
 
     gr.Examples(