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Runtime error
Runtime error
scale
Browse files- demo/demos.py +3 -3
demo/demos.py
CHANGED
@@ -36,7 +36,7 @@ def create_demo_keypose(process):
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fix_sample = gr.inputs.Radio(['True', 'False'], type="value", default='False', label='Fix Sampling\n (Fix the random seed to produce a fixed output)')
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run_button = gr.Button(label="Run")
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con_strength = gr.Slider(label="Controling Strength (The guidance strength of the keypose to the result)", minimum=0, maximum=1, value=1, step=0.1)
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scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", minimum=0.1, maximum=30.0, value=
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base_model = gr.inputs.Radio(['sd-v1-4.ckpt', 'anything-v4.0-pruned.ckpt'], type="value", default='sd-v1-4.ckpt', label='The base model you want to use')
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with gr.Column():
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result = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=2, height='auto')
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@@ -61,7 +61,7 @@ def create_demo_sketch(process):
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color_back = gr.inputs.Radio(['White', 'Black'], type="value", default='Black', label='Color of the sketch background\n (Only work for sketch input)')
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run_button = gr.Button(label="Run")
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con_strength = gr.Slider(label="Controling Strength (The guidance strength of the sketch to the result)", minimum=0, maximum=1, value=0.4, step=0.1)
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scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", minimum=0.1, maximum=30.0, value=
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fix_sample = gr.inputs.Radio(['True', 'False'], type="value", default='False', label='Fix Sampling\n (Fix the random seed)')
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base_model = gr.inputs.Radio(['sd-v1-4.ckpt', 'anything-v4.0-pruned.ckpt'], type="value", default='sd-v1-4.ckpt', label='The base model you want to use')
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with gr.Column():
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@@ -86,7 +86,7 @@ def create_demo_draw(process):
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value = 'crafted, elegant, meticulous, magnificent, maximum details, extremely hyper aesthetic, intricately detailed')
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run_button = gr.Button(label="Run")
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con_strength = gr.Slider(label="Controling Strength (The guidance strength of the sketch to the result)", minimum=0, maximum=1, value=0.4, step=0.1)
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scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", minimum=0.1, maximum=30.0, value=
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fix_sample = gr.inputs.Radio(['True', 'False'], type="value", default='False', label='Fix Sampling\n (Fix the random seed)')
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base_model = gr.inputs.Radio(['sd-v1-4.ckpt', 'anything-v4.0-pruned.ckpt'], type="value", default='sd-v1-4.ckpt', label='The base model you want to use')
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with gr.Column():
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fix_sample = gr.inputs.Radio(['True', 'False'], type="value", default='False', label='Fix Sampling\n (Fix the random seed to produce a fixed output)')
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run_button = gr.Button(label="Run")
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con_strength = gr.Slider(label="Controling Strength (The guidance strength of the keypose to the result)", minimum=0, maximum=1, value=1, step=0.1)
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scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", minimum=0.1, maximum=30.0, value=7.5, step=0.1)
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base_model = gr.inputs.Radio(['sd-v1-4.ckpt', 'anything-v4.0-pruned.ckpt'], type="value", default='sd-v1-4.ckpt', label='The base model you want to use')
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with gr.Column():
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result = gr.Gallery(label='Output', show_label=False, elem_id="gallery").style(grid=2, height='auto')
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color_back = gr.inputs.Radio(['White', 'Black'], type="value", default='Black', label='Color of the sketch background\n (Only work for sketch input)')
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run_button = gr.Button(label="Run")
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con_strength = gr.Slider(label="Controling Strength (The guidance strength of the sketch to the result)", minimum=0, maximum=1, value=0.4, step=0.1)
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scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", minimum=0.1, maximum=30.0, value=7.5, step=0.1)
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fix_sample = gr.inputs.Radio(['True', 'False'], type="value", default='False', label='Fix Sampling\n (Fix the random seed)')
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base_model = gr.inputs.Radio(['sd-v1-4.ckpt', 'anything-v4.0-pruned.ckpt'], type="value", default='sd-v1-4.ckpt', label='The base model you want to use')
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with gr.Column():
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value = 'crafted, elegant, meticulous, magnificent, maximum details, extremely hyper aesthetic, intricately detailed')
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run_button = gr.Button(label="Run")
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con_strength = gr.Slider(label="Controling Strength (The guidance strength of the sketch to the result)", minimum=0, maximum=1, value=0.4, step=0.1)
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scale = gr.Slider(label="Guidance Scale (Classifier free guidance)", minimum=0.1, maximum=30.0, value=7.5, step=0.1)
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fix_sample = gr.inputs.Radio(['True', 'False'], type="value", default='False', label='Fix Sampling\n (Fix the random seed)')
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base_model = gr.inputs.Radio(['sd-v1-4.ckpt', 'anything-v4.0-pruned.ckpt'], type="value", default='sd-v1-4.ckpt', label='The base model you want to use')
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with gr.Column():
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