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Update app.py
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app.py
CHANGED
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@@ -578,11 +578,11 @@ def canny_process_image(input_image, input_low_threshold, input_high_threshold,
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return np.array(canny_2)
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# Define the input and output interfaces
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# canny_input_image = gr.
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canny_input_image = gr.Image()
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canny_input_low_threshold = gr.
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canny_input_high_threshold = gr.
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canny_input_invert = gr.
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canny_outputs = gr.outputs.Image(type="numpy")
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@@ -707,17 +707,17 @@ with gr.Blocks() as canny_blocks_interface:
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''')
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with gr.Row():
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with gr.Column():
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canny_input_prompt = gr.
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with gr.Accordion(label='negative prompt (optional)', open=False):
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canny_negative_prompt = gr.
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canny_input_low_threshold = gr.
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canny_input_high_threshold = gr.
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# canny_input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
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canny_input_seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
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canny_input_invert = gr.
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canny_input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")
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with gr.Column():
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# canny_input_image = gr.
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canny_input_image = gr.Image(label="input image")
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go_button = gr.Button('generate image')
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# with gr.Row():
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@@ -792,11 +792,11 @@ with gr.Blocks() as canny_blocks_interface:
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# return output_image[0][0]
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# canny_input_prompt = gr.
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# canny_input_image = gr.
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# canny_input_low_threshold = gr.
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# canny_input_high_threshold = gr.
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# canny_input_invert = gr.
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# canny_outputs = gr.outputs.Image(type="pil")
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# make and launch the gradio app...
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@@ -932,13 +932,13 @@ with gr.Blocks() as depth_controlnet_gradio:
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gr.Markdown('''
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## Inputs...
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''')
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input_prompt = gr.
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# input_image = gr.
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input_image = gr.Image(label="input image")
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with gr.Accordion(label="options", open=False):
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with gr.Row():
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with gr.Column():
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input_negative_prompt = gr.
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with gr.Column():
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# input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
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input_seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
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@@ -946,7 +946,7 @@ with gr.Blocks() as depth_controlnet_gradio:
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with gr.Column():
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input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")
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with gr.Column():
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input_invert = gr.
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submit = gr.Button('generate image')
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with gr.Column():
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return np.array(canny_2)
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# Define the input and output interfaces
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# canny_input_image = gr.Image()
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canny_input_image = gr.Image()
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canny_input_low_threshold = gr.Slider(minimum=0, maximum=1000, step=1, label="Lower Threshold:", default=100)
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canny_input_high_threshold = gr.Slider(minimum=0, maximum=1000, step=1, label="Upper Threshold:", default=200)
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canny_input_invert = gr.Checkbox(label="Invert Image")
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canny_outputs = gr.outputs.Image(type="numpy")
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''')
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with gr.Row():
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with gr.Column():
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canny_input_prompt = gr.Textbox(label="enter your text prompt here")
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with gr.Accordion(label='negative prompt (optional)', open=False):
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canny_negative_prompt = gr.Textbox()
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canny_input_low_threshold = gr.Slider(minimum=0, maximum=1000, step=1, label="Lower Threshold:", default=100)
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canny_input_high_threshold = gr.Slider(minimum=0, maximum=1000, step=1, label="Upper Threshold:", default=120)
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# canny_input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
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canny_input_seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
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canny_input_invert = gr.Checkbox(label="invert edge tracing image")
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canny_input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")
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with gr.Column():
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# canny_input_image = gr.Image(label="input image")
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canny_input_image = gr.Image(label="input image")
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go_button = gr.Button('generate image')
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# with gr.Row():
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# return output_image[0][0]
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# canny_input_prompt = gr.Textbox(label="Enter a single word or phrase")
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# canny_input_image = gr.Image()
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# canny_input_low_threshold = gr.Slider(minimum=0, maximum=1000, step=1, label="Lower Threshold:", default=100)
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# canny_input_high_threshold = gr.Slider(minimum=0, maximum=1000, step=1, label="Upper Threshold:", default=200)
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# canny_input_invert = gr.Checkbox(label="Invert Image")
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# canny_outputs = gr.outputs.Image(type="pil")
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# make and launch the gradio app...
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gr.Markdown('''
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## Inputs...
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''')
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input_prompt = gr.Textbox(label="text prompt")
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# input_image = gr.Image(label="input image")
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input_image = gr.Image(label="input image")
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with gr.Accordion(label="options", open=False):
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with gr.Row():
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with gr.Column():
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input_negative_prompt = gr.Textbox(label="negative prompt")
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with gr.Column():
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# input_seed = gr.Slider(0, 99999999999999, label="seed", dtype=int, value=random_seed, interactive=True, step=1)
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input_seed = gr.Slider(0, 99999999999999, label="seed", value=random_seed, interactive=True, step=1)
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with gr.Column():
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input_rotate = gr.Dropdown([0, 90, 180, 270], label="rotate image (for smartphones)")
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with gr.Column():
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input_invert = gr.Checkbox(label="invert depthmap")
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submit = gr.Button('generate image')
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with gr.Column():
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