Update app.py

app.py

@@ -14,7 +14,7 @@ MAX_SEED = np.iinfo(np.int32).max
 MAX_IMAGE_SIZE = 2048
 
 @spaces.GPU(duration=120)
-def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
+def infer(prompt, seed=765449273, randomize_seed=False, width=1024, height=1024, num_inference_steps=4, progress=gr.Progress(track_tqdm=True)):
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     generator = torch.Generator().manual_seed(seed)
@@ -29,8 +29,7 @@ def infer(prompt, seed=42, randomize_seed=False, width=1024, height=1024, num_in
     return image, seed
  
 examples = [
-    "1 girl, hyper realistic,solo, naked, submerged, in water, scandinavianlooks, pale skin, full lips, large breasts, submerged breasts, river, lake, rain, looking at viewer, face focus, side view, absurdres, detailed, volumetric lighting, realistic, , expressive, masterpiece, 4K",
-   ]
+    "breathtaking beautiful young woman, light-blue eyes, long bronze hair, fair complexion, (freckles:0.5) , wearing sexy lace lingerie, sitting on the floor, leaning on her bed, window in the background with sheer white curtains, staring seductively at the viewer, sun shining through the window . award-winning, professional, highly detailed  ]
 
 css="""
 #col-container {
@@ -85,7 +84,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
                     step=32,
-                    value=1024,
+                    value=704,
                 )
                 
                 height = gr.Slider(
@@ -104,7 +103,7 @@ with gr.Blocks(css=css) as demo:
                     minimum=1,
                     maximum=30,
                     step=1,
-                    value=4,
+                    value=10,
                 )
         
         gr.Examples(