radames commited on
Commit
e5016ab
·
1 Parent(s): 8334917

temporary fix

Browse files
Files changed (3) hide show
  1. README.md +1 -1
  2. app.py +10 -4
  3. requirements.txt +1 -1
README.md CHANGED
@@ -4,7 +4,7 @@ emoji: 🔍🕵️
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  colorFrom: pink
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  colorTo: pink
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  sdk: gradio
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- sdk_version: 5.5.0
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  app_file: app.py
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  pinned: false
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  suggested_hardware: t4-medium
 
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  colorFrom: pink
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  colorTo: pink
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  sdk: gradio
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+ sdk_version: 5.26.0
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  app_file: app.py
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  pinned: false
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  suggested_hardware: t4-medium
app.py CHANGED
@@ -139,7 +139,12 @@ def predict(
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  eta=1.0,
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  )
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  print(f"Time taken: {time.time() - last_time}")
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- return (padded_image, images.images[0]), padded_image, anyline_image
 
 
 
 
 
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  css = """
@@ -249,7 +254,8 @@ SDXL Controlnet [TheMistoAI/MistoLine](https://huggingface.co/TheMistoAI/MistoLi
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  btn = gr.Button()
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  with gr.Column(scale=2):
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  with gr.Group():
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- image_slider = ImageSlider(position=0.5)
 
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  with gr.Row():
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  padded_image = gr.Image(type="pil", label="Padded Image")
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  anyline_image = gr.Image(type="pil", label="Anyline Image")
@@ -267,8 +273,8 @@ SDXL Controlnet [TheMistoAI/MistoLine](https://huggingface.co/TheMistoAI/MistoLi
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  guassian_sigma,
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  intensity_threshold,
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  ]
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- outputs = [image_slider, padded_image, anyline_image]
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- btn.click(lambda x: None, inputs=None, outputs=image_slider).then(
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  fn=predict, inputs=inputs, outputs=outputs
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  )
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  gr.Examples(
 
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  eta=1.0,
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  )
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  print(f"Time taken: {time.time() - last_time}")
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+ return (
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+ images.images[0],
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+ # (padded_image, images.images[0]),
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+ padded_image,
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+ anyline_image,
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+ )
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  css = """
 
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  btn = gr.Button()
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  with gr.Column(scale=2):
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  with gr.Group():
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+ output_image = gr.Image(type="pil", label="Output Image")
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+ # image_slider = ImageSlider(position=0.5)
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  with gr.Row():
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  padded_image = gr.Image(type="pil", label="Padded Image")
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  anyline_image = gr.Image(type="pil", label="Anyline Image")
 
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  guassian_sigma,
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  intensity_threshold,
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  ]
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+ outputs = [padded_image, anyline_image, output_image]
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+ btn.click(lambda x: None, inputs=None, outputs=output_image).then(
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  fn=predict, inputs=inputs, outputs=outputs
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  )
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  gr.Examples(
requirements.txt CHANGED
@@ -9,7 +9,7 @@ xformers
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  accelerate
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  invisible-watermark
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  hf-transfer
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- gradio_imageslider==0.0.20
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  compel
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  opencv-python
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  numpy
 
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  accelerate
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  invisible-watermark
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  hf-transfer
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+ gradio_imageslider
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  compel
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  opencv-python
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  numpy