Update app.py

app.py

@@ -242,7 +242,8 @@ with block:
         gr.Markdown("## Canny Edge")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             low_threshold = gr.Slider(label="low_threshold", minimum=1, maximum=255, value=100, step=1)
             high_threshold = gr.Slider(label="high_threshold", minimum=1, maximum=255, value=200, step=1)
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
@@ -256,7 +257,8 @@ with block:
         gr.Markdown("## Inpaint \n<p>Mochi Diffusion v4.1で使えるようになりました")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy", tool="sketch", height=512)
+            input_image = gr.Image(type="numpy", tool="sketch", height=512)
+#            input_image = gr.Image(source='upload', type="numpy", tool="sketch", height=512)
 #            resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             invert = gr.Checkbox(label='Invert Mask', value=False)
             run_button = gr.Button(label="Run")
@@ -270,7 +272,8 @@ with block:
         gr.Markdown("## HED Edge&nbsp;&quot;SoftEdge&quot;")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -282,7 +285,8 @@ with block:
         gr.Markdown("## Pidi Edge&nbsp;&quot;SoftEdge&quot;")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -294,7 +298,8 @@ with block:
         gr.Markdown("## MLSD Edge")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             value_threshold = gr.Slider(label="value_threshold", minimum=0.01, maximum=2.0, value=0.1, step=0.01)
             distance_threshold = gr.Slider(label="distance_threshold", minimum=0.01, maximum=20.0, value=0.1, step=0.01)
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
@@ -308,7 +313,8 @@ with block:
         gr.Markdown("## MIDAS Depth")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -321,7 +327,8 @@ with block:
         gr.Markdown("## Zoe Depth")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -333,7 +340,8 @@ with block:
         gr.Markdown("## Normal Bae")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -345,7 +353,8 @@ with block:
         gr.Markdown("## DWPose")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -357,7 +366,8 @@ with block:
         gr.Markdown("## Openpose")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             hand_and_face = gr.Checkbox(label='Hand and Face', value=False)
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
@@ -370,7 +380,8 @@ with block:
         gr.Markdown("## Lineart Anime \n<p>Check Invert to use with Mochi Diffusion.")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             invert = gr.Checkbox(label='Invert', value=True)
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
@@ -383,7 +394,8 @@ with block:
         gr.Markdown("## Lineart \n<p>Check Invert to use with Mochi Diffusion.  Inverted image can also be created here for use with ControlNet Scribble.")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             coarse = gr.Checkbox(label='Using coarse model', value=False)
             invert = gr.Checkbox(label='Invert', value=True)
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
@@ -408,7 +420,8 @@ with block:
         gr.Markdown("## Oneformer COCO Segmentation")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -420,7 +433,8 @@ with block:
         gr.Markdown("## Oneformer ADE20K Segmentation")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=640, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -432,7 +446,8 @@ with block:
         gr.Markdown("## Content Shuffle")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():
@@ -444,7 +459,8 @@ with block:
         gr.Markdown("## Color Shuffle")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image(source='upload', type="numpy")
+            input_image = gr.Image(type="numpy")
+#            input_image = gr.Image(source='upload', type="numpy")
             resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
             run_button = gr.Button(label="Run")
         with gr.Column():