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Runtime error
Runtime error
Fix: Update deprecated APIs and dependencies
#30
by akseljoonas HF Staff - opened
app.py
CHANGED
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@@ -634,7 +634,7 @@ def i2i_interface(with_example=False):
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fcs_lvl : gr.update(visible=x),
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clr_adj : gr.update(visible=x), },
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inputs=sim_flag,
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-
outputs=[explain, fid_lvl, fcs_lvl, clr_adj, seed]
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button.click(
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vd_inference.inference_i2i,
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@@ -696,7 +696,7 @@ def t2t_interface(with_example=False):
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fn=vd_inference.inference_t2t,
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inputs=[text, seed],
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outputs=[txt_output],
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-
cache_examples=cache_examples
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class image_mimage_swap(object):
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def __init__(self, block0, block1):
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@@ -812,7 +812,7 @@ class example_visible_only_hack(object):
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# msk0.change(
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# fn=swapf0,
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# inputs=[img0, imgm0, msk0],
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# outputs=[img0, imgm0]
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# input_session.append([img0, imgm0, istrength0, fcs0, msk0])
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# with gr.Column():
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@@ -829,12 +829,12 @@ class example_visible_only_hack(object):
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# msk1.change(
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# fn=swapf1,
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# inputs=[img1, imgm1, msk1],
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# outputs=[img1, imgm1]
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# input_session.append([img1, imgm1, istrength1, fcs1, msk1])
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# gr.HTML('<p id=myinst>  Weight: The strength of the reference image. This weight is subject to <u>Text Domination</u>).</p>'+
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# '<p id=myinst>  Focus: Focus on what aspect of the image? (0-semantic, 0.5-balanced (default), 1-style).</p>'+
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# '<p id=myinst>  Mask: Remove regions on reference image so they will not influence the output.</p>'
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# text = gr.Textbox(lines=2, placeholder="Input prompt...", label='Text Input')
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# tstrength = gr.Slider(label="Text Domination (NoEffect -- TextOnly)", minimum=0, maximum=1, value=0, step=0.02)
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@@ -862,7 +862,7 @@ class example_visible_only_hack(object):
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# fn=vd_inference.inference_tcg,
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# inputs=input_list,
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# outputs=[input_gallary, output_gallary, ],
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# cache_examples=cache_examples
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# gr.HTML('<br><p id=myinst>  How to add mask: Please see the following instructions.</p><br>'+
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# '<div id="maskinst">'+
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@@ -891,12 +891,12 @@ class example_visible_only_hack(object):
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# msk = gr.Checkbox(label='Use mask?')
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# gr.HTML('<p id=myinst>  Weight: The strength of the reference image. This weight is subject to <u>Text Domination</u>).</p>'+
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# '<p id=myinst>  Focus: Focus on what aspect of the image? (0-semantic, 0.5-balanced (default), 1-style).</p>'+
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# '<p id=myinst>  Mask: Remove regions on reference image so they will not influence the output.</p>'
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# msk.change(
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# fn=image_mimage_swap(img, imgm),
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# inputs=[img, imgm, msk],
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# outputs=[img, imgm]
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# input_session.append([img, imgm, istrength, fcs, msk])
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# text = gr.Textbox(lines=2, placeholder="Input prompt...", label='Text Input')
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@@ -917,7 +917,7 @@ class example_visible_only_hack(object):
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# button.click(
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# vd_inference.inference_mcg,
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# inputs=input_list,
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# outputs=[input_gallary, output_gallary]
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# if with_example:
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# create_myexamples(
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@@ -926,7 +926,7 @@ class example_visible_only_hack(object):
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# fn=vd_inference.inference_mcg,
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# inputs=input_list,
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# outputs=[input_gallary, output_gallary],
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# cache_examples=cache_examples
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# gr.HTML('<br><p id=myinst>  How to add mask: Please see the following instructions.</p><br>'+
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# '<div id="maskinst">'+
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@@ -1110,5 +1110,5 @@ if True:
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</div>
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""".format(' '+vd_inference.which))
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-
# demo.launch(
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demo.launch(debug=True)
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fcs_lvl : gr.update(visible=x),
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clr_adj : gr.update(visible=x), },
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inputs=sim_flag,
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outputs=[explain, fid_lvl, fcs_lvl, clr_adj, seed])
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button.click(
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vd_inference.inference_i2i,
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fn=vd_inference.inference_t2t,
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inputs=[text, seed],
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outputs=[txt_output],
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cache_examples=cache_examples)
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class image_mimage_swap(object):
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def __init__(self, block0, block1):
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# msk0.change(
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# fn=swapf0,
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# inputs=[img0, imgm0, msk0],
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# outputs=[img0, imgm0])
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# input_session.append([img0, imgm0, istrength0, fcs0, msk0])
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# with gr.Column():
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# msk1.change(
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# fn=swapf1,
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# inputs=[img1, imgm1, msk1],
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# outputs=[img1, imgm1])
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# input_session.append([img1, imgm1, istrength1, fcs1, msk1])
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# gr.HTML('<p id=myinst>  Weight: The strength of the reference image. This weight is subject to <u>Text Domination</u>).</p>'+
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# '<p id=myinst>  Focus: Focus on what aspect of the image? (0-semantic, 0.5-balanced (default), 1-style).</p>'+
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# '<p id=myinst>  Mask: Remove regions on reference image so they will not influence the output.</p>')
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# text = gr.Textbox(lines=2, placeholder="Input prompt...", label='Text Input')
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# tstrength = gr.Slider(label="Text Domination (NoEffect -- TextOnly)", minimum=0, maximum=1, value=0, step=0.02)
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# fn=vd_inference.inference_tcg,
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# inputs=input_list,
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# outputs=[input_gallary, output_gallary, ],
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# cache_examples=cache_examples)
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# gr.HTML('<br><p id=myinst>  How to add mask: Please see the following instructions.</p><br>'+
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# '<div id="maskinst">'+
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# msk = gr.Checkbox(label='Use mask?')
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# gr.HTML('<p id=myinst>  Weight: The strength of the reference image. This weight is subject to <u>Text Domination</u>).</p>'+
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# '<p id=myinst>  Focus: Focus on what aspect of the image? (0-semantic, 0.5-balanced (default), 1-style).</p>'+
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# '<p id=myinst>  Mask: Remove regions on reference image so they will not influence the output.</p>')
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# msk.change(
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# fn=image_mimage_swap(img, imgm),
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# inputs=[img, imgm, msk],
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# outputs=[img, imgm])
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# input_session.append([img, imgm, istrength, fcs, msk])
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# text = gr.Textbox(lines=2, placeholder="Input prompt...", label='Text Input')
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# button.click(
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# vd_inference.inference_mcg,
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# inputs=input_list,
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# outputs=[input_gallary, output_gallary])
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# if with_example:
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# create_myexamples(
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# fn=vd_inference.inference_mcg,
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# inputs=input_list,
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# outputs=[input_gallary, output_gallary],
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# cache_examples=cache_examples)
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# gr.HTML('<br><p id=myinst>  How to add mask: Please see the following instructions.</p><br>'+
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# '<div id="maskinst">'+
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</div>
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""".format(' '+vd_inference.which))
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# demo.launch()
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demo.launch(debug=True)
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