Update app.py

app.py

@@ -182,9 +182,6 @@ def run(
     use_hed: bool = False,
     progress=gr.Progress(track_tqdm=True),
 ) -> PIL.Image.Image:
-    # image = image.convert("RGB")
-    # image = TF.to_tensor(image) > 0.5
-    # image = TF.to_pil_image(image.to(torch.float32))
     width, height  = image['composite'].size
     ratio = np.sqrt(1024. * 1024. / (width * height))
     new_width, new_height = int(width * ratio), int(height * ratio)
@@ -243,7 +240,7 @@ with gr.Blocks(css="style.css", js=js_func) as demo:
             with gr.Accordion("Advanced options", open=False):
                 negative_prompt = gr.Textbox(
                     label="Negative prompt",
-                    value=" extra digit, fewer digits, cropped, worst quality, low quality, glitch, deformed, mutated, ugly, disfigured",
+                    value="longbody, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, worst quality, low quality",
                 )
                 num_steps = gr.Slider(
                     label="Number of steps",
@@ -278,9 +275,7 @@ with gr.Blocks(css="style.css", js=js_func) as demo:
         with gr.Column():
             with gr.Group():
                 image_slider = ImageSlider(position=0.5)
-            # with gr.Row():
-            #     result = gr.Image(label="result", height=400)
-            #     sketch_image = gr.Image(label="sketch")
+
 
     inputs = [
         image,
@@ -294,34 +289,16 @@ with gr.Blocks(css="style.css", js=js_func) as demo:
         use_hed,
     ]
     outputs = [image_slider]
-    run_button.click(lambda x: None, inputs=None, outputs=image_slider).then(
-        fn=run, inputs=inputs, outputs=outputs
-    )
-    
-    prompt.submit(
+    run_button.click(
         fn=randomize_seed_fn,
         inputs=[seed, randomize_seed],
         outputs=seed,
         queue=False,
         api_name=False,
     ).then(lambda x: None, inputs=None, outputs=image_slider).then(
-        fn=run,
-        inputs=inputs,
-        outputs=outputs,
-        api_name=False,
-    )
-    negative_prompt.submit(
-        fn=randomize_seed_fn,
-        inputs=[seed, randomize_seed],
-        outputs=seed,
-        queue=False,
-        api_name=False,
-    ).then(lambda x: None, inputs=None, outputs=image_slider).then(
-        fn=run,
-        inputs=inputs,
-        outputs=outputs,
-        api_name=False,
+        fn=run, inputs=inputs, outputs=outputs
     )
     
+    
 
 demo.queue().launch()