prithivMLmods commited on
Commit
91bdf27
1 Parent(s): e33bd11

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +18 -20
app.py CHANGED
@@ -12,8 +12,6 @@ from diffusers import StableDiffusionXLPipeline, EulerAncestralDiscreteScheduler
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  DESCRIPTIONx = """
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-
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- ## TEXT-2-IMG SDXL
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  """
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  css = '''
@@ -24,17 +22,17 @@ footer {
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  }
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  '''
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- examples = [
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- "3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, 4K resolution highlights, Sharp focus, octane render, ray tracing, Ultra-High-Definition, 8k, UHD, HDR, (Masterpiece:1.5), (best quality:1.5)",
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- "Chocolate dripping from a donut against a yellow background, in the style of brocore, hyper-realistic oil --ar 2:3 --q 2 --s 750 --v 5 --ar 2:3 --q 2 --s 750 --v 5",
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- "Illustration of A starry night camp in the mountains. Low-angle view, Minimal background, Geometric shapes theme, Pottery, Split-complementary colors, Bicolored light, UHD",
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- "Man in brown leather jacket posing for camera, in the style of sleek and stylized, clockpunk, subtle shades, exacting precision, ferrania p30 --ar 67:101 --v 5",
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- "Commercial photography, giant burger, white lighting, studio light, 8k octane rendering, high resolution photography, insanely detailed, fine details, on white isolated plain, 8k, commercial photography, stock photo, professional color grading, --v 4 --ar 9:16 "
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- ]
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  MODEL_OPTIONS = {
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- "LightningV4": "SG161222/RealVisXL_V4.0_Lightning",
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- "RealvisionXLV4": "SG161222/RealVisXL_V4.0",
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  }
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  MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "4096"))
@@ -140,7 +138,7 @@ def load_predefined_images():
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  ]
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  return predefined_images
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- with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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  gr.Markdown(DESCRIPTIONx)
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  with gr.Row():
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  prompt = gr.Text(
@@ -219,11 +217,11 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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  value=20,
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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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- cache_examples=False
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- )
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  use_negative_prompt.change(
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  fn=lambda x: gr.update(visible=x),
@@ -256,9 +254,9 @@ with gr.Blocks(css=css, theme="bethecloud/storj_theme") as demo:
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  api_name="run",
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  )
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- with gr.Column(scale=3):
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- gr.Markdown("### Image Gallery")
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- predefined_gallery = gr.Gallery(label="Image Gallery", columns=4, show_label=False, value=load_predefined_images())
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  if __name__ == "__main__":
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  demo.queue(max_size=40).launch(show_api=False)
 
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  DESCRIPTIONx = """
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  """
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  css = '''
 
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  }
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  '''
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+ #examples = [
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+ # "3d image, cute girl, in the style of Pixar --ar 1:2 --stylize 750, 4K resolution highlights, Sharp focus, octane render, ray tracing, Ultra-High-Definition, 8k, UHD, HDR, (Masterpiece:1.5), (best quality:1.5)",
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+ # "Chocolate dripping from a donut against a yellow background, in the style of brocore, hyper-realistic oil --ar 2:3 --q 2 --s 750 --v 5 --ar 2:3 --q 2 --s 750 --v 5",
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+ # "Illustration of A starry night camp in the mountains. Low-angle view, Minimal background, Geometric shapes theme, Pottery, Split-complementary colors, Bicolored light, UHD",
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+ # "Man in brown leather jacket posing for camera, in the style of sleek and stylized, clockpunk, subtle shades, exacting precision, ferrania p30 --ar 67:101 --v 5",
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+ # "Commercial photography, giant burger, white lighting, studio light, 8k octane rendering, high resolution photography, insanely detailed, fine details, on white isolated plain, 8k, commercial photography, stock photo, professional color grading, --v 4 --ar 9:16 "
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+ #]
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  MODEL_OPTIONS = {
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+ "Lightning": "SG161222/RealVisXL_V4.0_Lightning",
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+ "Realvision": "SG161222/RealVisXL_V4.0",
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  }
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  MAX_IMAGE_SIZE = int(os.getenv("MAX_IMAGE_SIZE", "4096"))
 
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  ]
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  return predefined_images
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+ with gr.Blocks(css=css) as demo:
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  gr.Markdown(DESCRIPTIONx)
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  with gr.Row():
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  prompt = gr.Text(
 
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  value=20,
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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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+ # cache_examples=False
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+ #)
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  use_negative_prompt.change(
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  fn=lambda x: gr.update(visible=x),
 
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  api_name="run",
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  )
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+ # with gr.Column(scale=3):
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+ # gr.Markdown("### Image Gallery")
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+ # predefined_gallery = gr.Gallery(label="Image Gallery", columns=4, show_label=False, value=load_predefined_images())
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  if __name__ == "__main__":
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  demo.queue(max_size=40).launch(show_api=False)