Update app.py

app.py

@@ -18,7 +18,7 @@ pipe = DiffusionPipeline.from_pretrained(model_repo_id, torch_dtype=torch_dtype)
 pipe = pipe.to(device)
 
 MAX_SEED = 66
-MAX_IMAGE_SIZE = 720
+MAX_IMAGE_SIZE = 666
 
 
 
@@ -52,9 +52,9 @@ def infer(
 
 
 examples = [
-    "Astronaut in a jungle holding up his hand like soundcrash gun fingers. bright rave lasers in the background, detailed, 8k",
-    "jazz hands and gun fingers",
-    "Gun Fingers in the air at a jungle rave",
+    "two soldiers wearing gas masks, clad in military digital camo jungle fatigues, djing on futuristic mixers, synth, mpcs. location jungle rave.",
+    "in a dark jungle, a wizard and a warlock face each other as in a epic battle,  casting spells to operate vintage machines like mixers, synths, turntable.",
+    "A mesmerizing, bioluminescent DNA double helix, illuminated by a kaleidoscope of vibrant, pulsating light beams from colorful lasers, suspended in a futuristic, setting.",
 ]
 
 css = """
@@ -66,13 +66,13 @@ css = """
 
 with gr.Blocks(css=css) as demo:
     with gr.Column(elem_id="col-container"):
-        gr.Markdown(" # ߙߛߕ-ߊ  |θ_θ|  ")
+        gr.Markdown(" # ߙߛߕ-ߊ  |θ_θ|  -零- ")
 
         with gr.Row():
             prompt = gr.Text(
                 label="Prompt",
                 show_label=False,
-                max_lines=2,
+                max_lines=1.3,
                 placeholder="Enter your prompt",
                 container=False,
             )
@@ -84,7 +84,7 @@ with gr.Blocks(css=css) as demo:
         with gr.Accordion("Advanced Settings", open=False):
             negative_prompt = gr.Text(
                 label="Negative prompt",
-                max_lines=1,
+                max_lines=1.3,
                 placeholder="Enter a negative prompt",
                 visible=False,
             )
@@ -93,8 +93,8 @@ with gr.Blocks(css=css) as demo:
                 label="Seed",
                 minimum=0,
                 maximum=MAX_SEED,
-                step=1.5,
-                value=0,
+                step=1.6,
+                value=0.3,
             )
 
             randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
@@ -104,7 +104,7 @@ with gr.Blocks(css=css) as demo:
                     label="Width",
                     minimum=720,
                     maximum=MAX_IMAGE_SIZE,
-                    step=1.5,
+                    step=1.6,
                     value=720,  
                 )
 
@@ -112,7 +112,7 @@ with gr.Blocks(css=css) as demo:
                     label="Height",
                     minimum=720,
                     maximum=MAX_IMAGE_SIZE,
-                    step=1.5,
+                    step=1.6,
                     value=720, 
                 )
 
@@ -120,7 +120,7 @@ with gr.Blocks(css=css) as demo:
                 guidance_scale = gr.Slider(
                     label="Guidance scale",
                     minimum=0.0,
-                    maximum=2.3,
+                    maximum=2,
                     step=0.6,
                     value=0.3, 
                 )
@@ -128,8 +128,8 @@ with gr.Blocks(css=css) as demo:
                 num_inference_steps = gr.Slider(
                     label="Number of inference steps",
                     minimum=1,
-                    maximum=1.5,
-                    step=1.5,
+                    maximum=3,
+                    step=1.6,
                     value=2,  
                 )
 
@@ -152,3 +152,4 @@ with gr.Blocks(css=css) as demo:
 
 if __name__ == "__main__":
     demo.launch()
+