Spaces:
Running
on
Zero
Running
on
Zero
temporary fix
Browse files- README.md +1 -1
- app.py +10 -4
- 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.
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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
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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 (
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css = """
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@@ -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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-
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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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@@ -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 = [
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btn.click(lambda x: None, inputs=None, outputs=
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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(
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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
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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
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