JoPmt commited on
Commit
615be77
1 Parent(s): a08f7b3

Update app.py

Browse files
Files changed (1) hide show
  1. app.py +1 -1
app.py CHANGED
@@ -147,6 +147,6 @@ def plex(fpath, text, neg_prompt, modil, one, two, three, four, five):
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  export_to_video(canframes, canvid, fps=fps)
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  return video, canvid, orvid
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- iface = gr.Interface(fn=plex, inputs=[gr.File(label="Your video",interactive=True, file_types=".mp4"),gr.Textbox(label="prompt"),gr.Textbox(label="neg prompt"),gr.Dropdown(choices=models, label="Models", value=models[0], type="value"), gr.Slider(label="num inference steps", minimum=1, step=1, maximum=10, value=4), gr.Slider(label="Strength", minimum=0.01, step=0.01, maximum=20.00, value=5.00), gr.Slider(label="controlnet scale", minimum=0.01, step=0.01, maximum=0.99, value=0.80), gr.Slider(label="Guidance scale", minimum=0.01, step=0.01, maximum=10.00, value=2.00), gr.Slider(label="Manual seed", minimum=0, step=32, maximum=4836928, value=0)], outputs=[gr.Video(label="final"), gr.Video(label="canny vid"), gr.Video(label="orig")],description="Running on cpu, very slow! by JoPmt.")
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  iface.queue(max_size=1,api_open=False)
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  iface.launch(max_threads=1)
 
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  export_to_video(canframes, canvid, fps=fps)
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  return video, canvid, orvid
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+ iface = gr.Interface(fn=plex, inputs=[gr.File(label="Your video",interactive=True, file_types=['.mp4',]),gr.Textbox(label="prompt"),gr.Textbox(label="neg prompt"),gr.Dropdown(choices=models, label="Models", value=models[0], type="value"), gr.Slider(label="num inference steps", minimum=1, step=1, maximum=10, value=4), gr.Slider(label="Strength", minimum=0.01, step=0.01, maximum=20.00, value=5.00), gr.Slider(label="controlnet scale", minimum=0.01, step=0.01, maximum=0.99, value=0.80), gr.Slider(label="Guidance scale", minimum=0.01, step=0.01, maximum=10.00, value=2.00), gr.Slider(label="Manual seed", minimum=0, step=32, maximum=4836928, value=0)], outputs=[gr.Video(label="final"), gr.Video(label="canny vid"), gr.Video(label="orig")],description="Running on cpu, very slow! by JoPmt.")
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  iface.queue(max_size=1,api_open=False)
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  iface.launch(max_threads=1)