Skip to content

jrreda/streamlit-neural-style-transfer

Repository files navigation

PyTorch Fast Neural Style Transfer 🎨

This repository contains a pytorch implementation of an algorithm for artistic style transfer. The algorithm can be used to mix the content of an image with the style of another image. For example, here is a photograph of a door arch rendered in the style of a stained glass painting.

The model uses the method described in Perceptual Losses for Real-Time Style Transfer and Super-Resolution along with Instance Normalization. The saved-models for examples shown in the README can be downloaded from here.

Running App

  1. First install all the dependencies

    pip install -r requirements.txt
    
  2. Run Streamlit app

    Demo your model by running app.py

    streamlit run app.py
    

demo

About

Neural Style Transfere with Streamlit

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published

Languages