Installation pip install git+https://github.com/moritztng/prism.git Quickstart Minimal Example style-transfer content.jpg style.jpg Complex Example style-transfer content.jpg style.jpg --artwork artwork.png --style_weight 1000 --lr 1 --iter 500 Features High Resolution # Create low-resolution artwork with area of 512 * 512. style-transfer content.jpg style.jpg # Initialize with low-resolution artwork to create artwork with area of 1024 * 1024. style-transfer content.jpg style.jpg --init_img artwork.png --area 1024 --iter 200 Mixed Precision Faster training, less memory, same quality on GPUs. style-transfer content.jpg style.jpg --use_amp Preserve Content Color style-transfer content.jpg style.jpg --preserve_color content Python Object from PIL import Image from style_transfer . learn import StyleTransfer style_transfer = StyleTransfer () artwork = style_transfer ( Image . open ( 'content.jpg' ), Image . open ( 'style.jpg' )) artwork . save ( 'artwork.png' ) Shop The shop was based on this implementation and customers ordered canvas prints there. shop.mp4 Canvas Prints References A Neural Algorithm of Artistic Style Image Style Transfer using Convolutional Neural Networks Preserving Color in Neural Artistic Style Transfer Controlling Perceptual Factors in Neural Style Transfer Supplementary Material: Controlling Perceptual Factors in Neural Style Transfer Mixed Precision Training PyTorch Implementation Style Transfer PyTorch Tutorial Style Transfer Palette Knife Painting Sophia by Briahna Wenke
