<p>It depends whether the method involves training a model on style data or not.</p>

<p>At least <a href="https://arxiv.org/abs/1508.06576" rel="nofollow noreferrer">one method</a> does not require that at all, instead training a network on a classification task and then infering the style of an image during the style transfer. So you can use a model that has been pre-trained on images that you do not have, and then use it and your images to perform the style transfers.</p>

<p>There is some ready-to use code to do that : <a href="https://github.com/titu1994/Neural-Style-Transfer" rel="nofollow noreferrer">example</a></p>
Is it possible to perform style transfer on my own images?
<p>I have a set of around 60 fractals (e.g</p>

<p><a href="https://i.stack.imgur.com/87uAU.png)" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/87uAU.png)" alt="Fractal"></a></p>

<p>And a set of 60 snacks (e.g</p>

<p><a href="https://i.stack.imgur.com/J8lwW.png" rel="nofollow noreferrer"><img src="https://i.stack.imgur.com/J8lwW.png" alt="enter image description here"></a></p>

<p>And I want to apply the style of the fractal on the snack.</p>

<p>Is this possible? 
Or must I take specifically images from an existing data set with a pre-trained images model?</p>

<p>Thanks</p>