Update app.py

app.py

@@ -17,6 +17,12 @@ login(token=a )
 
 device = "cuda" if torch.cuda.is_available() else "cpu"
 model_repo_id = "stabilityai/sdxl-turbo" # "stable-diffusion-v1-5/stable-diffusion-v1-5"  # Replace to the model you would like to use
+pipe.load_lora_weights("NazarAnarchist/Metrocop-HL2")
+
+
+
+
+
 
 if torch.cuda.is_available():
     torch_dtype = torch.float16
@@ -131,7 +137,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=0.0,
                     maximum=10.0,
                     step=0.1,
-                    value=3.6,  # Replace with defaults that work for your model
+                    value=0.0,  # Replace with defaults that work for your model
                 )
 
                 num_inference_steps = gr.Slider(
@@ -139,7 +145,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=50,
                     step=1,
-                    value=5,  # Replace with defaults that work for your model
+                    value=3,  # Replace with defaults that work for your model
                 )
 
         gr.Examples(examples=examples, inputs=[prompt])