Update app.py

app.py

@@ -242,7 +242,7 @@ with block:
         gr.Markdown("## Canny Edge")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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)
@@ -276,7 +276,7 @@ with block:
         gr.Markdown("## HED Edge "SoftEdge"")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -290,7 +290,7 @@ with block:
         gr.Markdown("## Pidi Edge "SoftEdge"")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -305,7 +305,7 @@ with block:
         gr.Markdown("## MLSD Edge")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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)
@@ -322,7 +322,7 @@ with block:
         gr.Markdown("## MIDAS Depth")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -338,7 +338,7 @@ with block:
         gr.Markdown("## Zoe Depth")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -353,7 +353,7 @@ with block:
         gr.Markdown("## Normal Bae")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -368,7 +368,7 @@ with block:
         gr.Markdown("## DWPose")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -383,7 +383,7 @@ with block:
         gr.Markdown("## Openpose")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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)
@@ -399,7 +399,7 @@ 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.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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)
@@ -415,7 +415,7 @@ 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.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            input_image = gr.Image(source='upload', type="numpy")
             coarse = gr.Checkbox(label='Using coarse model', value=False)
             invert = gr.Checkbox(label='Invert', value=True)
@@ -443,7 +443,7 @@ with block:
         gr.Markdown("## Oneformer COCO Segmentation")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -458,7 +458,7 @@ with block:
         gr.Markdown("## Oneformer ADE20K Segmentation")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -472,7 +472,7 @@ with block:
         gr.Markdown("## Content Shuffle")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")
@@ -487,7 +487,7 @@ with block:
         gr.Markdown("## Color Shuffle")
     with gr.Row():
         with gr.Column():
-            input_image = gr.Image.upload(type="numpy")
+            input_image = gr.Image(label="Input Image", type="numpy", height=480)
 #            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("Run")