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Running
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Running
on
T4
PKUWilliamYang
commited on
Commit
·
2432b66
1
Parent(s):
c01d896
Update app.py
Browse files
app.py
CHANGED
@@ -121,7 +121,7 @@ def main():
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- The final image result will be based on this **Rescaled Face**. Use padding parameters to adjust the background space.
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- **<font color=red>Solution to [Error: no face detected!]</font>**: VToonify uses dlib.get_frontal_face_detector but sometimes it fails to detect a face. You can try several times or use other images until a face is detected, then switch back to the original image.
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- For video input, further hit the **Rescale Video** button.
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- The final video result will be based on this **Rescaled Video**. To avoid overload, video is cut to at most **100** frames.
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''')
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with gr.Row():
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@@ -209,7 +209,7 @@ def main():
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- Adjust **Style Degree**.
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- Hit **Toonify!** to toonify one frame. Hit **VToonify!** to toonify full video.
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- Estimated time on 1600x1440 video of 300 frames: 1 hour (CPU);
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''')
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style_degree = gr.Slider(0,
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1,
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- The final image result will be based on this **Rescaled Face**. Use padding parameters to adjust the background space.
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122 |
- **<font color=red>Solution to [Error: no face detected!]</font>**: VToonify uses dlib.get_frontal_face_detector but sometimes it fails to detect a face. You can try several times or use other images until a face is detected, then switch back to the original image.
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- For video input, further hit the **Rescale Video** button.
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+
- The final video result will be based on this **Rescaled Video**. To avoid overload, video is cut to at most **100/300** frames for CPU/GPU, respectively.
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''')
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with gr.Row():
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- Adjust **Style Degree**.
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- Hit **Toonify!** to toonify one frame. Hit **VToonify!** to toonify full video.
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- Estimated time on 1600x1440 video of 300 frames: 1 hour (CPU); 2 mins (GPU)
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''')
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style_degree = gr.Slider(0,
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1,
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