elismasilva commited on
Commit
cb6f2d9
Β·
1 Parent(s): 1fc7110

adjust duration

Browse files
Files changed (2) hide show
  1. README.md +2 -2
  2. app.py +2 -2
README.md CHANGED
@@ -1,8 +1,8 @@
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  ---
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- title: Mod ControlNet Tile Upscaler SDXL
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  emoji: πŸš€
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  colorFrom: purple
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- colorTo: yellow
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  sdk: gradio
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  sdk_version: 5.15.0
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  app_file: app.py
 
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  ---
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+ title: MoD ControlNet Tile Upscaler SDXL
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  emoji: πŸš€
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  colorFrom: purple
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+ colorTo: red
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  sdk: gradio
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  sdk_version: 5.15.0
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  app_file: app.py
app.py CHANGED
@@ -36,7 +36,7 @@ pipe.enable_vae_tiling() # << Enable this if you have limited VRAM
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  pipe.enable_vae_slicing() # << Enable this if you have limited VRAM
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  # region functions
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- @spaces.GPU
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  def predict(
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  image,
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  prompt,
@@ -245,7 +245,7 @@ with gr.Blocks(css=css, theme=Platinum(), title="MoD ControlNet Tile Upscaler")
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  with gr.Row(elem_id="parameters_row"):
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  gr.Markdown("### General parameters")
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  tile_weighting_method = gr.Dropdown(
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- label="Tile Weighting Meethod", choices=["Cosine", "Gaussian"], value="Cosine"
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  )
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  tile_gaussian_sigma = gr.Slider(label="Gaussian Sigma", minimum=0.05, maximum=1.0, step=0.01, value=0.3, visible=False)
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  max_tile_size = gr.Dropdown(label="Max. Tile Size", choices=[1024, 1280], value=1024)
 
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  pipe.enable_vae_slicing() # << Enable this if you have limited VRAM
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  # region functions
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+ @spaces.GPU(duration=600)
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  def predict(
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  image,
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  prompt,
 
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  with gr.Row(elem_id="parameters_row"):
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  gr.Markdown("### General parameters")
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  tile_weighting_method = gr.Dropdown(
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+ label="Tile Weighting Method", choices=["Cosine", "Gaussian"], value="Cosine"
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  )
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  tile_gaussian_sigma = gr.Slider(label="Gaussian Sigma", minimum=0.05, maximum=1.0, step=0.01, value=0.3, visible=False)
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  max_tile_size = gr.Dropdown(label="Max. Tile Size", choices=[1024, 1280], value=1024)