burman-ai commited on
Commit
7f649ea
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verified ·
1 Parent(s): 119e558

Update app.py

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Files changed (1) hide show
  1. app.py +3 -3
app.py CHANGED
@@ -93,13 +93,13 @@ with gr.Blocks(theme='Nymbo/Nymbo_Theme', css=css) as app:
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  with gr.Accordion("Advanced Settings", open=False):
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  negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
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  with gr.Row():
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- width = gr.Slider(label="Width", value=1024, minimum=64, maximum=1216, step=32)
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- height = gr.Slider(label="Height", value=1024, minimum=64, maximum=1216, step=32)
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  steps = gr.Slider(label="Sampling steps", value=4, minimum=1, maximum=100, step=1)
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  cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
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  strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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  seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1) # Setting the seed to -1 will make it random
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- method = gr.Radio(label="Sampling method", value="DPM++ 2M Karras", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
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  # Add a button to trigger the image generation
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  with gr.Row():
 
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  with gr.Accordion("Advanced Settings", open=False):
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  negative_prompt = gr.Textbox(label="Negative Prompt", placeholder="What should not be in the image", value="(deformed, distorted, disfigured), poorly drawn, bad anatomy, wrong anatomy, extra limb, missing limb, floating limbs, (mutated hands and fingers), disconnected limbs, mutation, mutated, ugly, disgusting, blurry, amputation, misspellings, typos", lines=3, elem_id="negative-prompt-text-input")
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  with gr.Row():
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+ width = gr.Slider(label="Width", value=512, minimum=256, maximum=1024, step=64)
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+ height = gr.Slider(label="Height", value=512, minimum=256, maximum=1024, step=64)
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  steps = gr.Slider(label="Sampling steps", value=4, minimum=1, maximum=100, step=1)
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  cfg = gr.Slider(label="CFG Scale", value=7, minimum=1, maximum=20, step=1)
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  strength = gr.Slider(label="Strength", value=0.7, minimum=0, maximum=1, step=0.001)
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  seed = gr.Slider(label="Seed", value=-1, minimum=-1, maximum=1000000000, step=1) # Setting the seed to -1 will make it random
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+ method = gr.Radio(label="Sampling method", value="DDIM", choices=["DPM++ 2M Karras", "DPM++ SDE Karras", "Euler", "Euler a", "Heun", "DDIM"])
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  # Add a button to trigger the image generation
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  with gr.Row():