Update app.py

app.py

@@ -16,7 +16,6 @@ DESCRIPTION = """ # Instant Image
         ### Super fast text to Image Generator.
         ### <span style='color: red;'>You may change the steps from 4 to 8, if you didn't get satisfied results.
         ### First Image processing takes time then images generate faster.
-        ### Must Try -> Instant Video https://huggingface.co/spaces/KingNish/Instant-Video
         """
 if not torch.cuda.is_available():
     DESCRIPTION += "\n<p>Running on CPU 🥶 This demo does not work on CPU.</p>"
@@ -111,11 +110,6 @@ if torch.cuda.is_available():
         pipe.transformer = torch.compile(pipe.transformer, mode="reduce-overhead", fullgraph=True)
         print("Model Compiled!")
 
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 def save_image(img):
     unique_name = str(uuid.uuid4()) + ".png"
     img.save(unique_name)
@@ -209,14 +203,6 @@ with gr.Blocks(css=css) as demo:
                 placeholder="Enter a negative prompt",
                 visible=True,
             )
-              
-#                num_imgs = gr.Slider(
- #                   label="Num Images",
-  #                  minimum=1,
-   #                 maximum=8,
-    #                step=1,
-     #               value=1,
-      #          )
             style_selection = gr.Radio(
                 show_label=True,
                 container=True,
@@ -264,26 +250,6 @@ with gr.Blocks(css=css) as demo:
         fn=generate,
         cache_examples=CACHE_EXAMPLES,
     )
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     use_negative_prompt.change(
         fn=lambda x: gr.update(visible=x),
         inputs=use_negative_prompt,
@@ -315,19 +281,4 @@ with gr.Blocks(css=css) as demo:
     )
 
 if __name__ == "__main__":
-    demo.queue(max_size=20).launch()
-    # demo.queue(max_size=20).launch(server_name="0.0.0.0", server_port=11900, debug=True)
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+    demo.queue(max_size=20).launch()