Recently, a line art coloring method called MangaNinja has garnered widespread attention, allowing users to color target line art based on reference images with just an input of the line art and the reference image. This technology is based on a diffusion model and focuses on reference-image-guided line art coloring, significantly enhancing the accuracy of coloring and interactive control capabilities. The research team employed two innovative designs to ensure precise transfer of character details. First, they introduced a patch rearrangement module to facilitate correspondence learning between the reference color images and the target line art. Secondly, they adopted a point-driven approach.

Amazon recently released an upgraded version v2 of its internal AI model Titan Image Generator, offering a range of enhanced features for customers using the AWS Bedrock AI generation platform. Titan Image Generator v2 not only retains its original capabilities but also introduces new features such as image adjustments, color scheme control, background removal optimizations, and theme consistency maintenance. Users can accurately control the content of generated images by providing reference images and text prompts.