1

app.py

@@ -42,7 +42,7 @@ if __name__ == '__main__':
     ModelPath = "weights_v3/"
     model_cache = {}
 
-    input_model_name = gr.inputs.Dropdown(os.listdir(ModelPath), default="up3x-latest-no-denoise", label='选择model')
+    input_model_name = gr.inputs.Dropdown(os.listdir(ModelPath), default="up2x-latest-denoise2x.pth", label='选择model')
     input_tile_mode = gr.inputs.Dropdown([0, 1, 2, 3, 4], default=2, label='选择tile_mode')
     input_img = gr.inputs.Image(label='image', type='pil')
 
@@ -53,9 +53,10 @@ if __name__ == '__main__':
                          outputs=outputs,
                          allow_screenshot=False,
                          allow_flagging='never',
-                         examples=[['test-img.jpg', "up3x-latest-no-denoise", 2]],
+                         examples=[['test-img.jpg', "up2x-latest-denoise2x.pth", 2]],
                          article='[https://github.com/bilibili/ailab/tree/main/Real-CUGAN](https://github.com/bilibili/ailab/tree/main/Real-CUGAN)<br>'
                                  '感谢b站开源的项目，图片过大会导致内存不足，所有我将图片裁剪小，想体验大图片的效果请自行前往上面的链接。<br>'
+                                 '修改bbb'
                                  'The large image will lead to memory limit exceeded. So I crop and resize image. '
                                  'If you want to experience the large image, please go to the link above.')
     iface.launch()

weights_v3/up2x-latest-denoise2x.pth

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:8188b3faef4258cf748c59360cbc8086ebedf4a63eb9d5d6637d45f819d32496
+size 5147249