new lora and app

app.py

@@ -119,6 +119,9 @@ def infer(
         'height': height,
         'generator': generator,
     }
+
+    print(width)
+    print(height)
     
     return pipe(**params).images[0], seed    
 
@@ -139,6 +142,7 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
+        
         gr.Markdown(" # Text-to-Image")
 
         with gr.Row():
@@ -182,7 +186,25 @@ with gr.Blocks(css=css) as demo:
 
             randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
 
-        gr.Examples(examples=examples, inputs=[prompt])
+            with gr.Row():
+                    
+                width = gr.Slider(
+                    label="Width",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=512,  # Replace with defaults that work for your model
+                )
+
+                height = gr.Slider(
+                    label="Height",
+                    minimum=256,
+                    maximum=MAX_IMAGE_SIZE,
+                    step=32,
+                    value=512,  # Replace with defaults that work for your model
+                )
+
+    gr.Examples(examples=examples, inputs=[prompt])
     gr.on(
         triggers=[run_button.click, prompt.submit],
         fn=infer,
@@ -190,12 +212,13 @@ with gr.Blocks(css=css) as demo:
             prompt,
             negative_prompt,
             randomize_seed,
+            width,
+            height,
             model_repo_id,
             seed
         ],
         outputs=[result, seed],
     )
 
-
 if __name__ == "__main__":
-    demo.launch()
+    demo.launch()