[minimaxir]

Terminology note: there is a difference between Style Transfer and Fast Style Transfer.

Fast Style Transfer takes a very long time to train a style model (and the output models can be somewhat large; the pre-trained models in the Dropbox are 20MB), but the styles can be applied quickly. Fast Style Transfer is the technique that is used by Prisma/Facebook. This repo is the first I've seen that uses TensorFlow instead of lua/Torch dependency shenanigans, and as a result should be much easier to set up. (this code release also beats Google's TF code release for their implementation: https://research.googleblog.com/2016/10/supercharging-style-... )

EDIT: Playing around with this repository, I can stylize a 1200x1200px image on a dual-core CPU on a 2013 rMBP in about 30 seconds.

Normal Style Transfer is ad-hoc between the style image and the initial image; it can only be used for one image at a time, but overall it is faster than training a model for Fast Style Transfer (however, this is infeasible for mobile devices).

[gedy]

Thanks for the details on this - one question is your rMBP using CUDA/Nvidia for the 30 sec render?

[minimaxir]

No, which is why I specified dual-core CPU.

The README cites ~100ms with a Titan X using CUDA, although speed depends on image size.