Spaces:
Running
on
A10G
Running
on
A10G
Update app.py
Browse files
app.py
CHANGED
@@ -303,16 +303,16 @@ with gr.Blocks(css=css) as demo:
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with gr.Column():
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with gr.Group():
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prompt = gr.Textbox(label="Prompt")
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-
negative_prompt = gr.Textbox(label="Negative prompt", value="extra digit, fewer digits, cropped
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with gr.Group():
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guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=7.5)
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inf_steps = gr.Slider(label="Inference Steps", minimum="25", maximum="50", step=1, value=25)
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custom_lora_weight = gr.Slider(label="Custom model weights", minimum=0.1, maximum=0
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with gr.Column():
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with gr.Group():
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preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny"], value="canny", interactive=False, info="For the moment, only canny is available")
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controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=0
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with gr.Group():
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seed = gr.Slider(
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label="Seed",
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with gr.Column():
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with gr.Group():
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prompt = gr.Textbox(label="Prompt")
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negative_prompt = gr.Textbox(label="Negative prompt", value="extra digit, fewer digits, cropped")
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with gr.Group():
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guidance_scale = gr.Slider(label="Guidance Scale", minimum=1.0, maximum=10.0, step=0.1, value=7.5)
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inf_steps = gr.Slider(label="Inference Steps", minimum="25", maximum="50", step=1, value=25)
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+
custom_lora_weight = gr.Slider(label="Custom model weights", minimum=0.1, maximum=1.0, step=0.1, value=0.9)
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with gr.Column():
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with gr.Group():
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preprocessor = gr.Dropdown(label="Preprocessor", choices=["canny"], value="canny", interactive=False, info="For the moment, only canny is available")
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controlnet_conditioning_scale = gr.Slider(label="Controlnet conditioning Scale", minimum=0.1, maximum=1.0, step=0.01, value=0.5)
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with gr.Group():
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seed = gr.Slider(
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label="Seed",
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