Update app.py

app.py

@@ -17,7 +17,7 @@ else:
 pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
-MAX_SEED = 606060
+MAX_SEED = 66
 MAX_IMAGE_SIZE = 480
 
 
@@ -66,7 +66,7 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # डेम0 - |D_D|  -X- ")
+        gr.Markdown(" # डेम0 -.- |D_D| -.- ")
 
         with gr.Row():
             prompt = gr.Text(
@@ -91,20 +91,20 @@ with gr.Blocks(css=css) as demo:
 
             seed = gr.Slider(
                 label="Seed",
-                minimum=333,
+                minimum=6,
                 maximum=MAX_SEED,
                 step=1,
                 value=0,
             )
 
-            randomize_seed = gr.Checkbox(label="Randomize seed", value=False)
+            randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
 
             with gr.Row():
                 width = gr.Slider(
                     label="Width",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
-                    step=13,
+                    step=3,
                     value=480,  
                 )
 
@@ -112,7 +112,7 @@ with gr.Blocks(css=css) as demo:
                     label="Height",
                     minimum=256,
                     maximum=MAX_IMAGE_SIZE,
-                    step=13,
+                    step=3,
                     value=480, 
                 )
 
@@ -120,15 +120,15 @@ with gr.Blocks(css=css) as demo:
                 guidance_scale = gr.Slider(
                     label="Guidance scale",
                     minimum=0.0,
-                    maximum=6.0,
-                    step=0.6,
+                    maximum=3.0,
+                    step=0.3,
                     value=0.1, 
                 )
 
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=23,
+                    maximum=13,
                     step=1,
                     value=2,  
                 )