prithivMLmods commited on
Commit
a8a6ec0
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verified ·
1 Parent(s): 5c250d6

Update app.py

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Files changed (1) hide show
  1. app.py +2 -2
app.py CHANGED
@@ -183,7 +183,7 @@ def infer_example(input_image_path, prompt, lora_adapter):
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  # Calculate aspect ratio for the example image
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  width, height = update_dimensions_on_upload(input_pil)
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  # Set reasonable default values for example inference
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- guidance_scale = 4.0
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  steps = 4
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  # Call the main infer function
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  result, seed = infer(input_pil, prompt, lora_adapter, 0, True, guidance_scale, steps, width, height)
@@ -224,7 +224,7 @@ with gr.Blocks(css=css, theme=steel_blue_theme) as demo:
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  with gr.Accordion("⚙️ Advanced Settings", open=False):
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  seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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  randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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- guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=4.0)
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  steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
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  # Hidden sliders to hold image dimensions
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  height = gr.Slider(label="Height", minimum=256, maximum=1024, step=8, value=1024, visible=False)
 
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  # Calculate aspect ratio for the example image
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  width, height = update_dimensions_on_upload(input_pil)
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  # Set reasonable default values for example inference
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+ guidance_scale = 1.0
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  steps = 4
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  # Call the main infer function
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  result, seed = infer(input_pil, prompt, lora_adapter, 0, True, guidance_scale, steps, width, height)
 
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  with gr.Accordion("⚙️ Advanced Settings", open=False):
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  seed = gr.Slider(label="Seed", minimum=0, maximum=MAX_SEED, step=1, value=0)
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  randomize_seed = gr.Checkbox(label="Randomize Seed", value=True)
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+ guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=1.0)
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  steps = gr.Slider(label="Inference Steps", minimum=1, maximum=50, step=1, value=4)
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  # Hidden sliders to hold image dimensions
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  height = gr.Slider(label="Height", minimum=256, maximum=1024, step=8, value=1024, visible=False)