Update app.py

app.py

@@ -61,7 +61,7 @@ def predict(dict, prompt="", negative_prompt="", guidance_scale=7.5, steps=30, s
     
     mask_image.putdata(new_data)
     mask_image = mask_image.resize(init_image.size, resample=Image.LANCZOS)
-    mask_image = pipe.mask_processor.blur(mask_image, blur_factor=5)
+    #mask_image = pipe.mask_processor.blur(mask_image, blur_factor=5)
     output = pipe(
         prompt = prompt,
         negative_prompt=negative_prompt,
@@ -143,7 +143,7 @@ with image_blocks as demo:
                             scheduler = gr.Dropdown(label="Schedulers", choices=schedulers, value="DPMSolverMultistepScheduler-Karras")
                         
                 with gr.Column():
-                    image_out = gr.Image(label="Output", elem_id="output-img", height=1024, width=512)
+                    image_out = gr.Image(label="Output", elem_id="output-img", height=512, width=512)
                     with gr.Group(elem_id="share-btn-container", visible=False) as share_btn_container:
                         community_icon = gr.HTML(community_icon_html)
                         loading_icon = gr.HTML(loading_icon_html)