Update app.py

app.py

@@ -9,7 +9,7 @@ import spaces
 import torch
 from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
 
-DESCRIPTIONx = """## REALVISXL V5 🦉
+DESCRIPTIONx = """## REALVISXL V5 🤗
 """
 
 css = '''
@@ -25,11 +25,11 @@ examples = [
     "Cold coffee in a cup bokeh --ar 85:128 --v 6.0 --style raw5, 4K", 
 ]
 
-MODEL_ID = os.getenv("MODEL_VAL_PATH", "SG161222/RealVisXL_V4.0_Lightning")   
+MODEL_ID = os.getenv("MODEL_VAL_PATH", "SG161222/RealVisXL_V4.0_Lightning") 
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "4096"))
 USE_TORCH_COMPILE = os.getenv("USE_TORCH_COMPILE", "0") == "1"
 ENABLE_CPU_OFFLOAD = os.getenv("ENABLE_CPU_OFFLOAD", "0") == "1"
-BATCH_SIZE = int(os.getenv("BATCH_SIZE", "1"))  
+BATCH_SIZE = int(os.getenv("BATCH_SIZE", "1"))  # Allow generating multiple images at once
 
 #Load model outside of function
 device = torch.device("cuda:0" if torch.cuda.is_available() else "cpu")
@@ -61,18 +61,6 @@ def randomize_seed_fn(seed: int, randomize_seed: bool) -> int:
         seed = random.randint(0, MAX_SEED)
     return seed
 
-def set_wallpaper_size(size):
-    if size == "Mobile (1080x1920)":
-        return 1080, 1920
-    elif size == "Desktop (1920x1080)":
-        return 1920, 1080
-    elif size == "Extented (1920x512)":  
-        return 1920, 512
-    elif size == "Headers (1080x512)":
-        return 1080, 512
-    else:
-        return 1024, 1024 
-
 @spaces.GPU(duration=60, enable_queue=True)
 def generate(
     prompt: str,
@@ -81,7 +69,6 @@ def generate(
     seed: int = 1,
     width: int = 1024,
     height: int = 1024,
-    wallpaper_size: str = "Default (1024x1024)",
     guidance_scale: float = 3,
     num_inference_steps: int = 25,
     randomize_seed: bool = False,
@@ -91,9 +78,8 @@ def generate(
 ):
     seed = int(randomize_seed_fn(seed, randomize_seed))
     generator = torch.Generator(device=device).manual_seed(seed)
-    width, height = set_wallpaper_size(wallpaper_size)
 
-    
+    #Options 
     options = {
         "prompt": [prompt] * num_images,
         "negative_prompt": [negative_prompt] * num_images if use_negative_prompt else None,
@@ -120,9 +106,10 @@ def generate(
 
     image_paths = [save_image(img) for img in images]
     return image_paths, seed
-
+#Main gr.Block
 with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
     gr.Markdown(DESCRIPTIONx)  
+
     with gr.Group():
         with gr.Row():
             prompt = gr.Text(
@@ -134,13 +121,6 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
             )
             run_button = gr.Button("Run", scale=0)
         result = gr.Gallery(label="Result", columns=1, show_label=False) 
-
-        with gr.Row(visible=True):
-            wallpaper_size = gr.Radio(
-                choices=["Mobile (1080x1920)", "Desktop (1920x1080)", "Extented (1920x512)", "Headers (1080x512)", "Default (1024x1024)"],
-                label="Pixel Size(x*y)",
-                value="Default (1024x1024)"
-            )
     with gr.Accordion("Advanced options", open=False, visible=False):
         num_images = gr.Slider(
             label="Number of Images",
@@ -232,6 +212,6 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
         outputs=[result, seed],
         api_name="run",
     )   
-
+    gr.HTML(html_content)
 if __name__ == "__main__":
     demo.queue(max_size=40).launch()