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SAE: removed option 'remove gray border', because it makes the model very resource intensive
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2 changed files with 2 additions and 2 deletions
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@ -64,7 +64,7 @@ class SAEModel(ModelBase):
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self.options['e_ch_dims'] = np.clip ( io.input_int("Encoder dims per channel (21-85 ?:help skip:%d) : " % (default_e_ch_dims) , default_e_ch_dims, help_message="More encoder dims help to recognize more facial features, but require more VRAM. You can fine-tune model size to fit your GPU." ), 21, 85 )
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default_d_ch_dims = self.options['e_ch_dims'] // 2
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self.options['d_ch_dims'] = np.clip ( io.input_int("Decoder dims per channel (10-85 ?:help skip:%d) : " % (default_d_ch_dims) , default_d_ch_dims, help_message="More decoder dims help to get better details, but require more VRAM. You can fine-tune model size to fit your GPU." ), 10, 85 )
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self.options['remove_gray_border'] = io.input_bool ("Remove gray border? (y/n, ?:help skip:n) : ", False, help_message="Removes gray border of predicted face, but requires more computing resources.")
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#self.options['remove_gray_border'] = io.input_bool ("Remove gray border? (y/n, ?:help skip:n) : ", False, help_message="Removes gray border of predicted face, but requires more computing resources.")
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else:
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self.options['ae_dims'] = self.options.get('ae_dims', default_ae_dims)
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self.options['e_ch_dims'] = self.options.get('e_ch_dims', default_e_ch_dims)
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