set 4 step

app.py

@@ -25,7 +25,6 @@ examples = [
 MODEL_OPTIONS = {
     "Lightning": "SG161222/RealVisXL_V4.0_Lightning",
     "Turbovision": "SG161222/RealVisXL_V3.0_Turbo",
-
 }
 
 MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "4096"))
@@ -114,29 +113,10 @@ def generate(
     image_paths = [save_image(img) for img in images]
     return image_paths, seed
 
-#def load_predefined_images():
-  #  predefined_images = [
- #       "assets/1.png",
-    #    "assets/2.png",
-    #    "assets/3.png",
-    #    "assets/4.png",
-    #    "assets/5.png",
-   #     "assets/6.png",
-    #    "assets/7.png",
-     #   "assets/8.png",
-    #    "assets/9.png",
-     #   "assets/10.png",
-   #     "assets/11.png",
- #       "assets/12.png",
- #   ]
-  #  return predefined_images
-
-
 with gr.Blocks(css=css) as demo:
     gr.Markdown(
             f"""
-        # Text🥠Image
-        Models used in the playground [[Lightning]](https://huggingface.co/SG161222/RealVisXL_V4.0_Lightning), [[Realvision]](https://huggingface.co/) ,[[Turbo]](https://huggingface.co/SG161222/RealVisXL_V3.0_Turbo) for image generation. stable diffusion xl piped (sdxl) model HF. This is the demo space for generating images using the Stable Diffusion XL models, with multi different variants available. ⚠️ users are accountable for the content they generate and are responsible for ensuring it meets appropriate ethical standards.
+        Lightning on CPU
         """
         )
     with gr.Row():
@@ -161,7 +141,7 @@ with gr.Blocks(css=css) as demo:
         num_images = gr.Slider(
             label="Number of Images",
             minimum=1,
-            maximum=1,
+            maximum=2,
             step=1,
             value=1,
         )
@@ -212,7 +192,7 @@ with gr.Blocks(css=css) as demo:
                 minimum=1,
                 maximum=35,
                 step=1,
-                value=20,
+                value=4,
             )
 
     gr.Examples(