KeyError: 'encode1'

[Vullan]

I can run the estimate_plausible_tags function just fine- the model seems to be working, but calling extract_feature or extract_binary_feature returns KeyError: 'encode1'

looking in to it a little, it seems the error was generated as the output of :
feature = self._extract(imgs, layername='encode1')
and in the illust2vec model, the layers are only iterations of convX_Y, reluX_Y, and poolX.
Passing actual layer names doesn't seem to get rid of the error or produce any results so I'm lost with this...
On windows, chainer is v5.2

[mbatuhancelik]

Had the same issue, using illust2vec_ver200.caffemodel instead of illust2vec_tag_ver200.caffemodel when creating illust2vec solved the problem.
This is also demonstrated in how to use, yet it is easy to unsee.