Update app.py

app.py

@@ -13,32 +13,27 @@ import zipfile
 DESCRIPTION = """## 
 """
 
-# Function to save an image with a unique name
 def save_image(img):
     unique_name = str(uuid.uuid4()) + ".png"
     img.save(unique_name)
     return unique_name
 
-# Function to handle seed randomization
 def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
     if randomize_seed:
         seed = random.randint(0, MAX_SEED)
     return seed
 
-# Maximum seed value for 32-bit integer
 MAX_SEED = np.iinfo(np.int32).max
 
-# Load the diffusion model
 base_model = "black-forest-labs/FLUX.1-dev"
 pipe = DiffusionPipeline.from_pretrained(base_model, torch_dtype=torch.bfloat16)
 
 lora_repo = "strangerzonehf/Flux-Super-Realism-LoRA"
-trigger_word = "Super Realism"  # Leave blank if not used
+trigger_word = "Super Realism"
 
 pipe.load_lora_weights(lora_repo)
 pipe.to("cuda")
 
-# Define style options with negative prompts
 style_list = [
     {
         "name": "3840 x 2160",
@@ -66,12 +61,10 @@ styles = {k["name"]: (k["prompt"], k["negative_prompt"]) for k in style_list}
 DEFAULT_STYLE_NAME = "3840 x 2160"
 STYLE_NAMES = list(styles.keys())
 
-# Apply selected style to the prompt
 def apply_style(style_name: str, positive: str) -> Tuple[str, str]:
     p, n = styles.get(style_name, styles[DEFAULT_STYLE_NAME])
     return p.replace("{prompt}", positive), n
 
-# Image generation function with Spaces GPU support
 @spaces.GPU(duration=60, enable_queue=True)
 def generate(
     prompt: str,
@@ -132,15 +125,13 @@ def generate(
     
     return image_paths, seed, f"{duration:.2f}", zip_path
 
-# Example prompts
 examples = [
     "Super Realism, High-resolution photograph, woman, UHD, photorealistic, shot on a Sony A7III --chaos 20 --ar 1:2 --style raw --stylize 250",
     "Woman in a red jacket, snowy, in the style of hyper-realistic portraiture, caninecore, mountainous vistas, timeless beauty, palewave, iconic, distinctive noses --ar 72:101 --stylize 750 --v 6",
-    "Super Realism, Headshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait photography --ar 85:128 --v 6.0 --style",
+    "Super Realism, Headshot of handsome young man, wearing dark gray sweater with buttons and big shawl collar, brown hair and short beard, serious look on his face, black background, soft studio lighting, portrait ONE photography --ar 85:128 --v 6.0 --style",
     "Super-realism, Purple Dreamy, a medium-angle shot of a young woman with long brown hair, wearing a pair of eye-level glasses, stands in front of a backdrop of purple and white lights. The womans eyes are closed, her lips are slightly parted, as if she is looking up at the sky. Her hair is cascading over her shoulders, framing her face. She is wearing a sleeveless top, adorned with tiny white dots, and a gold chain necklace around her neck. Her left earrings are dangling from her ears, adding a pop of color to the scene."
 ]
 
-# CSS to center the UI and style components
 css = '''
 .gradio-container {
     max-width: 590px !important;
@@ -154,7 +145,6 @@ footer {
 }
 '''
 
-# Gradio interface
 with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
     gr.Markdown(DESCRIPTION)
     with gr.Row():
@@ -167,11 +157,9 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
         )
         run_button = gr.Button("Run", scale=0, variant="primary")
     result = gr.Gallery(label="Result", columns=1, show_label=False, preview=True)
-    seed_display = gr.Textbox(label="Seed used", interactive=False)
-    generation_time = gr.Textbox(label="Generation time (seconds)", interactive=False)
     zip_file = gr.File(label="Download ZIP")
-    
-    with gr.Accordion("Advanced options", open=False):
+
+    with gr.Accordion("Additional Options", open=False):
         style_selection = gr.Dropdown(
             label="Quality Style",
             choices=STYLE_NAMES,
@@ -230,7 +218,11 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
             value=1,
         )
         zip_images = gr.Checkbox(label="Zip generated images", value=False)
-    
+        
+        gr.Markdown("### Output Information")
+        seed_display = gr.Textbox(label="Seed used", interactive=False)
+        generation_time = gr.Textbox(label="Generation time (seconds)", interactive=False)
+
     gr.Examples(
         examples=examples,
         inputs=prompt,
@@ -238,16 +230,14 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
         fn=generate,
         cache_examples=False,
     )
-    
-    # Handle visibility of negative prompt
+
     use_negative_prompt.change(
         fn=lambda x: gr.update(visible=x),
         inputs=use_negative_prompt,
         outputs=negative_prompt,
         api_name=False,
     )
-    
-    # Trigger generate on prompt submit or run button click
+
     gr.on(
         triggers=[
             prompt.submit,