Entwicklung eines Kolorierungsassistenten auf Basis einer generativen KI

A coloring assistant based on a generative diffusion model is developed to automatically color manga line drawings. Its performance is evaluated against existing models using PSNR, MS‑SSIM and FID, showing improved fidelity in eye and hair colors and closer adherence to original sketches, while noting some residual artifacts that can be reduced by scaling the model. The results demonstrate that diffusion‑based approaches can deliver high‑quality coloring on consumer‑grade hardware.