bilibili/ailab

ailab is a deep learning tool designed to upscale anime-style images, increasing their resolution while preserving fine details. It is built around a cascade U-Net architecture, a multi-stage neural network model that refines image quality through successive stages, and uses PyTorch for inference.

The tool specializes in enhancing anime and cartoon-style artwork, applying super-resolution techniques to boost pixel dimensions without sacrificing visual fidelity. It processes images through a pipeline that includes tensor preprocessing, model inference, and post-processing pixel reconstruction, all within a batch processing loop that can handle multiple inputs in a single session.

The project provides pre-trained model weights in a serialized binary format, enabling efficient loading and distribution for upscaling tasks.