Update app.py
Browse files
app.py
CHANGED
@@ -242,7 +242,7 @@ with block:
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gr.Markdown("## Canny Edge")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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low_threshold = gr.Slider(label="low_threshold", minimum=1, maximum=255, value=100, step=1)
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high_threshold = gr.Slider(label="high_threshold", minimum=1, maximum=255, value=200, step=1)
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@@ -276,7 +276,7 @@ with block:
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gr.Markdown("## HED Edge "SoftEdge"")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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@@ -290,21 +290,22 @@ with block:
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gr.Markdown("## Pidi Edge "SoftEdge"")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## MLSD Edge")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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value_threshold = gr.Slider(label="value_threshold", minimum=0.01, maximum=2.0, value=0.1, step=0.01)
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distance_threshold = gr.Slider(label="distance_threshold", minimum=0.01, maximum=20.0, value=0.1, step=0.01)
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@@ -313,21 +314,23 @@ with block:
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## MIDAS Depth")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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@@ -335,49 +338,52 @@ with block:
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gr.Markdown("## Zoe Depth")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Normal Bae")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## DWPose")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Openpose")
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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hand_and_face = gr.Checkbox(label='Hand and Face', value=False)
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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@@ -385,14 +391,15 @@ with block:
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Lineart Anime \n<p>Check Invert to use with Mochi Diffusion.")
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with gr.Row():
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with gr.Column():
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input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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invert = gr.Checkbox(label='Invert', value=True)
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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@@ -400,14 +407,15 @@ with block:
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Lineart \n<p>Check Invert to use with Mochi Diffusion. Inverted image can also be created here for use with ControlNet Scribble.")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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coarse = gr.Checkbox(label='Using coarse model', value=False)
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invert = gr.Checkbox(label='Invert', value=True)
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@@ -416,7 +424,8 @@ with block:
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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# with gr.Row():
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# gr.Markdown("## Uniformer Segmentation")
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@@ -434,55 +443,59 @@ with block:
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gr.Markdown("## Oneformer COCO Segmentation")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Oneformer ADE20K Segmentation")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=640, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Content Shuffle")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Color Shuffle")
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with gr.Row():
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with gr.Column():
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-
input_image = gr.Image(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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-
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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block.launch(server_name='0.0.0.0')
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gr.Markdown("## Canny Edge")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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low_threshold = gr.Slider(label="low_threshold", minimum=1, maximum=255, value=100, step=1)
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high_threshold = gr.Slider(label="high_threshold", minimum=1, maximum=255, value=200, step=1)
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gr.Markdown("## HED Edge "SoftEdge"")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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gr.Markdown("## Pidi Edge "SoftEdge"")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=pidi, inputs=[input_image, resolution], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## MLSD Edge")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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value_threshold = gr.Slider(label="value_threshold", minimum=0.01, maximum=2.0, value=0.1, step=0.01)
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distance_threshold = gr.Slider(label="distance_threshold", minimum=0.01, maximum=20.0, value=0.1, step=0.01)
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=mlsd, inputs=[input_image, resolution, value_threshold, distance_threshold], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## MIDAS Depth")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=384, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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+
run_button.click(fn=midas, inputs=[input_image, resolution], outputs=[gallery])
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gr.Markdown("<hr>")
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gr.Markdown("## Zoe Depth")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=zoe, inputs=[input_image, resolution], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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gr.Markdown("## Normal Bae")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=normalbae, inputs=[input_image, resolution], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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368 |
gr.Markdown("## DWPose")
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with gr.Row():
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with gr.Column():
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+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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run_button = gr.Button("Run")
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# run_button = gr.Button(label="Run")
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with gr.Column():
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377 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=dwpose, inputs=[input_image, resolution], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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383 |
gr.Markdown("## Openpose")
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with gr.Row():
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with gr.Column():
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386 |
+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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hand_and_face = gr.Checkbox(label='Hand and Face', value=False)
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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# run_button = gr.Button(label="Run")
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with gr.Column():
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393 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=openpose, inputs=[input_image, resolution, hand_and_face], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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399 |
gr.Markdown("## Lineart Anime \n<p>Check Invert to use with Mochi Diffusion.")
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with gr.Row():
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401 |
with gr.Column():
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402 |
+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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invert = gr.Checkbox(label='Invert', value=True)
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resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
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# run_button = gr.Button(label="Run")
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with gr.Column():
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409 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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+
run_button.click(fn=lineart_anime, inputs=[input_image, resolution, invert], outputs=[gallery])
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gr.Markdown("<hr>")
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with gr.Row():
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415 |
gr.Markdown("## Lineart \n<p>Check Invert to use with Mochi Diffusion. Inverted image can also be created here for use with ControlNet Scribble.")
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with gr.Row():
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417 |
with gr.Column():
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418 |
+
input_image = gr.Image.upload(type="numpy")
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# input_image = gr.Image(source='upload', type="numpy")
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coarse = gr.Checkbox(label='Using coarse model', value=False)
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invert = gr.Checkbox(label='Invert', value=True)
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# run_button = gr.Button(label="Run")
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with gr.Column():
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426 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
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+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
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run_button.click(fn=lineart, inputs=[input_image, resolution, coarse, invert], outputs=[gallery])
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# with gr.Row():
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431 |
# gr.Markdown("## Uniformer Segmentation")
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gr.Markdown("## Oneformer COCO Segmentation")
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with gr.Row():
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445 |
with gr.Column():
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446 |
+
input_image = gr.Image.upload(type="numpy")
|
447 |
# input_image = gr.Image(source='upload', type="numpy")
|
448 |
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
|
449 |
run_button = gr.Button("Run")
|
450 |
# run_button = gr.Button(label="Run")
|
451 |
with gr.Column():
|
452 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
|
453 |
+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
|
454 |
+
run_button.click(fn=oneformer_coco, inputs=[input_image, resolution], outputs=[gallery])
|
455 |
|
456 |
gr.Markdown("<hr>")
|
457 |
with gr.Row():
|
458 |
gr.Markdown("## Oneformer ADE20K Segmentation")
|
459 |
with gr.Row():
|
460 |
with gr.Column():
|
461 |
+
input_image = gr.Image.upload(type="numpy")
|
462 |
# input_image = gr.Image(source='upload', type="numpy")
|
463 |
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=640, step=64)
|
464 |
run_button = gr.Button("Run")
|
465 |
# run_button = gr.Button(label="Run")
|
466 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
|
467 |
+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
|
468 |
+
run_button.click(fn=oneformer_ade20k, inputs=[input_image, resolution], outputs=[gallery])
|
469 |
|
470 |
gr.Markdown("<hr>")
|
471 |
with gr.Row():
|
472 |
gr.Markdown("## Content Shuffle")
|
473 |
with gr.Row():
|
474 |
with gr.Column():
|
475 |
+
input_image = gr.Image.upload(type="numpy")
|
476 |
# input_image = gr.Image(source='upload', type="numpy")
|
477 |
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
|
478 |
run_button = gr.Button("Run")
|
479 |
# run_button = gr.Button(label="Run")
|
480 |
with gr.Column():
|
481 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
|
482 |
+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
|
483 |
+
run_button.click(fn=content_shuffler, inputs=[input_image, resolution], outputs=[gallery])
|
484 |
|
485 |
gr.Markdown("<hr>")
|
486 |
with gr.Row():
|
487 |
gr.Markdown("## Color Shuffle")
|
488 |
with gr.Row():
|
489 |
with gr.Column():
|
490 |
+
input_image = gr.Image.upload(type="numpy")
|
491 |
# input_image = gr.Image(source='upload', type="numpy")
|
492 |
resolution = gr.Slider(label="resolution", minimum=256, maximum=1024, value=512, step=64)
|
493 |
run_button = gr.Button("Run")
|
494 |
# run_button = gr.Button(label="Run")
|
495 |
with gr.Column():
|
496 |
gallery = gr.Gallery(label="Generated images", show_label=False, height="auto")
|
497 |
+
# gallery = gr.Gallery(label="Generated images", show_label=False).style(height="auto")
|
498 |
+
run_button.click(fn=color_shuffler, inputs=[input_image, resolution], outputs=[gallery])
|
499 |
|
500 |
|
501 |
block.launch(server_name='0.0.0.0')
|