Update app.py

app.py

@@ -52,10 +52,10 @@ else:
         return Image.fromarray(np.array(image_tensor.data[0]))
 
 
-with gr.Blocks(title="LCM DreamShaper v8 – OpenVINO") as demo:
+with gr.Blocks(title="SD1.5 3d interior design – OpenVINO") as demo:
     gr.Markdown(
         """
-        # 🎨 LCM DreamShaper v8 — OpenVINO INT8
+        # 🏠 SD1.5 Interior LoRA + LCM-style Model— OpenVINO INT8
         Fast CPU inference with Latent Consistency Model.  
         4 steps is usually enough — crank it to 8 for more detail.
         """
@@ -107,9 +107,9 @@ with gr.Blocks(title="LCM DreamShaper v8 – OpenVINO") as demo:
 
     gr.Examples(
         examples=[
-            ["portrait of a woman, dramatic lighting, oil painting style", "blurry, low quality", 4, 0.8, 42],
-            ["futuristic city at night, neon lights, cyberpunk", "blurry, low quality", 6, 1.0, 7],
-            ["a majestic wolf in a forest, 4k, detailed", "cartoon, anime", 8, 0.8, 123],
+            ["isometric ,3d render,interior a living room with a couch, chair, table and clock,indoors, book, pillow, no humans, window, bed, chair, table, plant, curtains, scenery, couch, wooden floor, clock, lamp, alarm clock", 4, 1.0, 42],
+            ["isometric ,3d render,interior a bedroom with a bed, desk and computer monitor in a neon frame,book, pillow, no humans, window, bed, night, chair, plant, scenery, desk, lamp, computer, monitor", 8, 1.0, 7],
+            ["isometric ,3d render,interior a small kitchen with a table and chairs,food, indoors, no humans, window, chair, table, bottle, scenery, plate, kitchen, frying pan, sink, rug, stove, cutting board", 8, 0.8, 123],
         ],
         inputs=[prompt, negative_prompt, num_steps, guidance_scale, seed],
         outputs=output,