The CartoonGan model can be found in tfhub and was developed by Sayak Paul. In this repo we build an iOS application to perform the cartoonization with an iPhone.

https://www.dropbox.com/s/7x3obx9egks13qi/video-demo-image.MP4?dl=0

• https://labs.openai.com/
• https://platform.openai.com/docs/guides/images/
• https://github.com/dylanshine/openai-kit

• Use the TensorFlow Lite Swift API
• Understand the pre & post processing of images with Swift, using the CoreGraphics framework. The main challenge is that the TensorflowLite Swift API takes the raw Data and it needs a lot of pre/post processing and understanding of the images and its content.
• Link
  • https://www.tensorflow.org/lite/examples/style_transfer/overview
  • https://github.com/rusito-23/CartoonGan-iOS
    • https://tfhub.dev/sayakpaul/lite-model/cartoongan/int8/1
    • https://tfhub.dev/s?q=Style%20Transfer

• Search Google
• Mid Journey
  • Don’t support API
  • Generate image via Discord: https://discord.gg/midjourney
• Cartoonify Tag

The app is built with UIKit using programmatic components only. The class CartoonGanModel contains the logic to perform inference, pre/post processing and error handling for all of these cases.

To get the app started

• run pod install to install the dependencies.