Sebastiankay commited on
Commit
5783f33
·
1 Parent(s): c4df34b

28. Sept. 2024, 12:39

Browse files
Files changed (1) hide show
  1. app.py +8 -3
app.py CHANGED
@@ -12,8 +12,12 @@ gr.set_static_paths(paths=["_res", "_res/assets/"])
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  custom_css = RES + "/_custom.css"
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  custom_js = RES + "/_custom.js"
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- title = "ControlNet v1.1 Preprocessors Standalone"
 
 
 
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  model_canny = None
@@ -274,7 +278,8 @@ theme = gr.themes.Soft(
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  neutral_hue=gr.themes.Color(c100="#a6adc8", c200="#9399b2", c300="#7f849c", c400="#6c7086", c50="#cdd6f4", c500="#585b70", c600="#45475a", c700="#313244", c800="#1e1e2e", c900="#181825", c950="#11111b"),
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  )
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- with gr.Blocks(theme=theme, css=custom_css, js=custom_js) as demo:
 
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  with gr.Row(elem_classes="row-header"):
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  gr.Markdown(
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  f"""
@@ -324,7 +329,7 @@ with gr.Blocks(theme=theme, css=custom_css, js=custom_js) as demo:
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  # Das Tutorial kommt bald.
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  """
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  )
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-
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  # MARK: Button Runs
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  run_btn_lineart.click(fn=lineart, inputs=[input_image, resolution, preprocessor_name, invert, gallery], outputs=[gallery])
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  run_btn_canny.click(fn=canny, inputs=[input_image, resolution, low_threshold, high_threshold, gallery], outputs=[gallery])
 
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  custom_css = RES + "/_custom.css"
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  custom_js = RES + "/_custom.js"
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+ custom_head = f"""
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+ <link rel="stylesheet" href="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.9.0/css/all.min.css"/>
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+ <script src="https://cdnjs.cloudflare.com/ajax/libs/font-awesome/5.9.0/js/all.min.js"></script>
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+ """
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+ title = "ControlNet v1.1 Preprocessors Standalone"
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  model_canny = None
 
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  neutral_hue=gr.themes.Color(c100="#a6adc8", c200="#9399b2", c300="#7f849c", c400="#6c7086", c50="#cdd6f4", c500="#585b70", c600="#45475a", c700="#313244", c800="#1e1e2e", c900="#181825", c950="#11111b"),
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  )
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+ # MARK: GRADIO UI
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+ with gr.Blocks(theme=theme, css=custom_css, js=custom_js, head=custom_head, title=title) as demo:
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  with gr.Row(elem_classes="row-header"):
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  gr.Markdown(
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  f"""
 
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  # Das Tutorial kommt bald.
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  """
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  )
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+
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  # MARK: Button Runs
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  run_btn_lineart.click(fn=lineart, inputs=[input_image, resolution, preprocessor_name, invert, gallery], outputs=[gallery])
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  run_btn_canny.click(fn=canny, inputs=[input_image, resolution, low_threshold, high_threshold, gallery], outputs=[gallery])