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Runtime error
Runtime error
Update app.py
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app.py
CHANGED
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@@ -122,7 +122,7 @@ def generate(
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inference_steps: int = 4,
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randomize_seed: bool = False,
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use_resolution_binning: bool = True,
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**kwargs
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):
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator().manual_seed(seed)
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@@ -130,6 +130,7 @@ def generate(
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if not use_negative_prompt:
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negative_prompt = None
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color_selections = {
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color: {
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"selected": kwargs.get(f"{color.lower()}_selected", False),
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@@ -157,7 +158,6 @@ def generate(
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return [], seed
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image_paths = [save_image(img) for img in images]
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print(image_paths)
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return image_paths, seed
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# Example prompts
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@@ -175,78 +175,37 @@ color_checkboxes = {}
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color_sliders = {}
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# Set up the Gradio interface
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with gr.Blocks() as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Row(equal_height=False):
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with gr.Group():
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with gr.Row():
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prompt = gr.Text(
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label="Prompt",
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show_label=False,
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max_lines=1,
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placeholder="Enter your prompt",
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container=False,
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)
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run_button = gr.Button("Run", scale=0)
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result = gr.Gallery(label="Result", columns=NUM_IMAGES_PER_PROMPT, show_label=False)
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with gr.Accordion("Color Influences", open=False):
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with gr.Group():
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for color in color_attributes:
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with gr.Row():
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color_checkboxes[color] = gr.Checkbox(label=f"{color} Selected", value=False)
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color_sliders[color] = gr.Slider(label=f"{color} Influence Ratio", minimum=0, maximum=1, step=0.01, value=0)
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with gr.
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with gr.Row():
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label="Negative prompt",
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max_lines=1,
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placeholder="Enter a negative prompt",
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visible=True,
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)
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style_selection = gr.Radio(
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show_label=True,
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container=True,
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interactive=True,
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choices=STYLE_NAMES,
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value=DEFAULT_STYLE_NAME,
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label="Image Style",
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)
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seed = gr.Slider(
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label="Seed",
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minimum=0,
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maximum=MAX_SEED,
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step=1,
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value=0,
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)
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randomize_seed = gr.Checkbox(label="Randomize seed", value=True)
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with gr.Row(visible=True):
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width = gr.Slider(
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label="Width",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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height = gr.Slider(
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label="Height",
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minimum=256,
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maximum=MAX_IMAGE_SIZE,
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step=32,
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value=1024,
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)
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with gr.Row():
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inference_steps = gr.Slider(
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label="Steps",
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minimum=4,
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maximum=20,
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step=1,
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value=4,
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)
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gr.Examples(
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examples=examples,
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inputs=prompt,
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@@ -256,34 +215,31 @@ with gr.Blocks() as demo:
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)
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use_negative_prompt.change(
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fn=lambda
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inputs=use_negative_prompt,
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outputs=negative_prompt,
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api_name=False,
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)
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fn=generate,
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inputs=
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negative_prompt,
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style_selection,
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use_negative_prompt,
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seed,
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width,
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height,
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inference_steps,
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randomize_seed,
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*[color_checkboxes[color] for color in color_attributes],
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*[color_sliders[color] for color in color_attributes],
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],
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outputs=[result, seed],
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api_name="run",
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)
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if __name__ == "__main__":
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inference_steps: int = 4,
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randomize_seed: bool = False,
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use_resolution_binning: bool = True,
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**kwargs # This will capture all the dynamic inputs like color selections and ratios
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):
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seed = int(randomize_seed_fn(seed, randomize_seed))
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generator = torch.Generator().manual_seed(seed)
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if not use_negative_prompt:
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negative_prompt = None
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# Extract color selections and ratios from kwargs
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color_selections = {
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color: {
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"selected": kwargs.get(f"{color.lower()}_selected", False),
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return [], seed
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image_paths = [save_image(img) for img in images]
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return image_paths, seed
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# Example prompts
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color_sliders = {}
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# Set up the Gradio interface
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# Initialize color checkboxes and sliders before using them
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color_checkboxes = {color: gr.Checkbox(label=f"{color} Selected", value=False) for color in color_attributes}
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color_sliders = {color: gr.Slider(label=f"{color} Influence Ratio", minimum=0, maximum=1, step=0.01, value=0) for color in color_attributes}
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with gr.Blocks() as demo:
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gr.Markdown(DESCRIPTION)
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with gr.Row():
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prompt = gr.Text(label="Prompt", placeholder="Enter your prompt")
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run_button = gr.Button("Run")
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result = gr.Gallery(label="Result", columns=NUM_IMAGES_PER_PROMPT)
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with gr.Accordion("Color Influences", open=False):
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for color in color_attributes:
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with gr.Row():
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color_checkboxes[color]
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color_sliders[color]
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with gr.Accordion("Advanced options", open=False):
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with gr.Column():
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negative_prompt = gr.Text(label="Negative Prompt", placeholder="Enter a negative prompt")
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use_negative_prompt = gr.Checkbox(label="Use Negative Prompt", value=False)
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style_selection = gr.Radio(choices=STYLE_NAMES, label="Style", value=DEFAULT_STYLE_NAME)
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seed = gr.Number(label="Seed", value=0)
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width = gr.Number(label="Width", value=1024)
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height = gr.Number(label="Height", value=1024)
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inference_steps = gr.Slider(minimum=4, maximum=20, label="Inference Steps", value=4)
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randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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# Set examples for predefined prompts
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gr.Examples(
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examples=examples,
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inputs=prompt,
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)
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use_negative_prompt.change(
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fn=lambda visible: gr.update(visible=visible),
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inputs=use_negative_prompt,
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outputs=negative_prompt,
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)
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# Define the inputs for the generate function using a dictionary for clear mapping
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generate_inputs = {
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"prompt": prompt,
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"negative_prompt": negative_prompt,
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"style": style_selection,
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"use_negative_prompt": use_negative_prompt,
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"seed": seed,
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"width": width,
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"height": height,
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"inference_steps": inference_steps,
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"randomize_seed": randomize_seed,
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**{f"{color.lower()}_selected": color_checkboxes[color] for color in color_attributes},
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**{f"{color.lower()}_ratio": color_sliders[color] for color in color_attributes}
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}
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# Connect the UI with the generate function
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run_button.click(
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fn=generate,
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inputs=generate_inputs,
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outputs=[result, seed]
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)
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if __name__ == "__main__":
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