OriLib commited on
Commit
12000db
1 Parent(s): 16f006a

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +15 -2
app.py CHANGED
@@ -66,16 +66,29 @@ with block:
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  input_image = gr.Image(sources=None, type="pil",label="Upload",height=600) # None for upload, ctrl+v and webcam
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  prompt = gr.Textbox(label="Prompt")
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  negative_prompt = gr.Textbox(label="Negative prompt", value="Logo,Watermark,Text,Ugly,Morbid,Extra fingers,Poorly drawn hands,Mutation,Blurry,Extra limbs,Gross proportions,Missing arms,Mutated hands,Long neck,Duplicate,Mutilated,Mutilated hands,Poorly drawn face,Deformed,Bad anatomy,Cloned face,Malformed limbs,Missing legs,Too many fingers")
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- num_steps = gr.Slider(label="Number of steps", minimum=25, maximum=100, value=50, step=1)
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  controlnet_conditioning_scale = gr.Slider(label="ControlNet conditioning scale", minimum=0.1, maximum=2.0, value=1.0, step=0.05)
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  seed = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, randomize=True,)
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  run_button = gr.Button(value="Generate")
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  with gr.Column():
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- result_gallery = gr.Image(label='Output', show_label=True, elem_id="gallery", height=600) # None for upload, ctrl+v and webcam
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  # result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery", columns=[1], height=600)
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  ips = [input_image, prompt, negative_prompt, num_steps, controlnet_conditioning_scale, seed]
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  run_button.click(fn=process, inputs=ips, outputs=[result_gallery])
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  block.launch(debug = True)
 
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  input_image = gr.Image(sources=None, type="pil",label="Upload",height=600) # None for upload, ctrl+v and webcam
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  prompt = gr.Textbox(label="Prompt")
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  negative_prompt = gr.Textbox(label="Negative prompt", value="Logo,Watermark,Text,Ugly,Morbid,Extra fingers,Poorly drawn hands,Mutation,Blurry,Extra limbs,Gross proportions,Missing arms,Mutated hands,Long neck,Duplicate,Mutilated,Mutilated hands,Poorly drawn face,Deformed,Bad anatomy,Cloned face,Malformed limbs,Missing legs,Too many fingers")
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+ num_steps = gr.Slider(label="Number of steps", minimum=10, maximum=100, value=30, step=1)
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  controlnet_conditioning_scale = gr.Slider(label="ControlNet conditioning scale", minimum=0.1, maximum=2.0, value=1.0, step=0.05)
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  seed = gr.Slider(label="Seed", minimum=0, maximum=2147483647, step=1, randomize=True,)
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  run_button = gr.Button(value="Generate")
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  with gr.Column():
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+ result_gallery = gr.Image(label='Output', type="pil", show_label=True, elem_id="output-img", height=600)
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  # result_gallery = gr.Gallery(label='Output', show_label=False, elem_id="gallery", columns=[1], height=600)
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  ips = [input_image, prompt, negative_prompt, num_steps, controlnet_conditioning_scale, seed]
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  run_button.click(fn=process, inputs=ips, outputs=[result_gallery])
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+ gr.Examples(
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+ examples=[
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+ ["./example1.png"],
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+ ["./example2.png"],
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+ ["./example3.png"],
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+ ["./example4.png"],
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+ ],
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+ fn=predict,
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+ inputs=[image],
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+ cache_examples=False,
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+ )
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+
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+
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  block.launch(debug = True)