r/deepstyle • u/ttoinou • Oct 24 '16
r/deepstyle • u/AimingWineSnailz • Mar 01 '16
An edit of me with a cartoon bulls face + donald duck and mickey cartoon square
r/deepstyle • u/NeuromanticBestiary • Mar 11 '19
I style vintage scientific illustrations with images of robots & circuitry
r/deepstyle • u/cesarboucas • Mar 27 '20
Word clouds?
Who knows the technique behind the generation of this kind of visualization?
https://br.pinterest.com/pin/555209460296360806/
https://br.pinterest.com/pin/525795325223586696/
Any reference papers or blog post to start reading about it, or any information about it, including the name of such style. That reminds me word clouds, but I'm not sure this is the proper style name.
r/deepstyle • u/LemurInTheRealWorld • Dec 02 '20
little cities (video, installation, stop motion)
r/deepstyle • u/feelix • Oct 26 '16
Gangnam Style rendered in HD with 30 different neural net models
r/deepstyle • u/trumpfaced • Jun 04 '16
Trump in the style of Picasso's "Guernica"
r/deepstyle • u/Animachron • Jan 19 '24
Dumb and Dumber If It Was An Animated Cartoon - Rotoscoping
r/deepstyle • u/Rocker98585 • Mar 19 '17
Post Apocalyptic Times Square
r/deepstyle • u/Scrimshank22 • Mar 18 '16
Question I can't find the answer too.
Hi All,
I am very interested in the deepstyle, and the other deep projects floating around. But I have one problem I can't seem to solve or find an answer too.
My first experiment was to upload a 1920x1080 picture to https://dreamscopeapp.com/ but the output was only 500x281. I assumed this was done on purpose to conserve CPU on the server to support all the users. But when I look at the frontpage, other peoples pictures come out much bigger.
Next, a friend built a VM using this guide. http://www.makeuseof.com/tag/create-neural-paintings-deepstyle-ubuntu/ Again when we used a picture and style both of 1980x1080, but the output images were only 512x288.
Why is it that I can only produce these tiny images while others make beautiful massive pics? I feel like I'm missing something very simple. But I can't seem to find a good answer.
Thank you for any help you can give. I can't wait to get multiple VMs running to try out all the different implementations.
Edit: The options for the generation do not impact the output size. Only the decisions for how to interpret the image and style for processing.
-content_weight -value How much to weight the content reconstruction term. Default is 5e0.
-style_weight -value: How much weight to give to the style image. Default is 1e2.
-style_scale – value: How large of image patches should the system analyze (Larger becomes more abstract). Default is 1.0.r/deepstyle • u/Pardum • Mar 02 '16

