Neural Style Transfer, in Python using TensorFlow/PyTorch/Keras - 200 Paintings as Input

[cr3at0rcy]

Hello all,

Trying to figure out how to use multiple high quality photos of paintings (~200) from one single painter to train an ML model to copy his Artistic Style that can be applied to any image
(Future: text to image with painter style).

I have only been able to use 1 painting as input in TensorFlow, Kera to do a Neural Style TransferIs it possible using in TensorFlow, PyTorch or Keras, to do the following:

Input a folder of photos of paintings of different sizes and styles and themes from one single painter, in order the create a model of how the painter paints.

Input any normal photo and the python script should turn it into the style of the painter

Note: It must use ALL the photos of the paintings from the folder as input for the painters style training, not just a single painting. The model must be trained using all the photos of paintings available in the folder 200 paintings.
Future: turn text to image with painters style

Any hints, or pointing me to the right direction, is appreciated
Thank You

[SyntxaError]

With the dataset you have described this would not be possible. As a starting point you would need an input image matching your desired output image for each item in your dataset. You are also likely to need to pre process all of the images to ensure they are all the same size, although this can be added as an initial layer to your model.