Update app.py

app.py

@@ -21,8 +21,8 @@ dtype = torch.float16 if device != 'cpu' else torch.float32
 def magnify_image(image, scale_factor=2):
     start_time = time.time()
     try:
-        if image.size[0] > 500 or image.size[1] > 500:
-            message = 'Failed! Image too large, please resize to <1000x1000 or clone the repo and code to allow larger images on your local machine.'
+        if image.size[0] > 1500 or image.size[1] > 1500:
+            message = 'Failed! Image too large, please resize to <3000x3000 or clone the repo and code to allow larger images on your local machine.'
         else:
             image = magnifier.magnify(image, scale_factor=scale_factor)
             fprint(f'Inference time: {time.time() - start_time:.2f}s')
@@ -35,10 +35,10 @@ with gr.Blocks() as demo:
     if not os.path.exists('imgs'):
         os.mkdir('imgs')
 
-    gr.Markdown('# Free Anime Image Scale Up Demo (CPU)')
-    gr.Markdown('## 免费动漫插图图片分辨率放大 （最大支持500x500,更大尺寸请clone repo本地运行）')
-    gr.Markdown('## Powered by Waifu2x')
-    gr.Markdown("## Author: [yangheng95](https://github.com/yangheng95)  Github:[Github](https://github.com/yangheng95/SuperResolutionAnimeDiffusion)")
+#    gr.Markdown('# Free Anime Image Scale Up Demo (CPU)')
+#    gr.Markdown('## 免费动漫插图图片分辨率放大 （最大支持500x500,更大尺寸请clone repo本地运行）')
+#    gr.Markdown('## Powered by Waifu2x')
+#    gr.Markdown("## Author: [yangheng95](https://github.com/yangheng95)  Github:[Github](https://github.com/yangheng95/SuperResolutionAnimeDiffusion)")
 
     with gr.Row():
         with gr.Column(scale=40):