Hi, I'm the developer of the script. The algorithm used by Deepart.io differs in two crucial ways : It uses Markov Random Field Regularization from the CNNMRF paper, as well as Image Analogy loss from the Image Analogies" paper.
The output is far more precise, although it requires far more time to process the image, as well as requires a 1000 iterations.
Of course on powerful GPU's this is not a big problem. However on a desktop gpu or laptop gpu for home use, it is simply not worth it to use several hours to develop a single image.
On the plus side, there is a second script called INetwork.py which uses several improvements from a recent paper "Improving the Neural Algorithm of Artistic Style" which takes slightly more time, but produces good results in under 100 iterations and far less time than with MRF loss.
The output is far more precise, although it requires far more time to process the image, as well as requires a 1000 iterations.
Of course on powerful GPU's this is not a big problem. However on a desktop gpu or laptop gpu for home use, it is simply not worth it to use several hours to develop a single image.
On the plus side, there is a second script called INetwork.py which uses several improvements from a recent paper "Improving the Neural Algorithm of Artistic Style" which takes slightly more time, but produces good results in under 100 iterations and far less time than with MRF loss.