LaMa is a generative model for image inpainting that uses Fourier convutions to handle large masks and high-resolution images. It employs a CNN/GAN architecture trained on 256x256 images that generalizes well to much higher resolutions. The model is implemented in PyTorch and includes Colab notebooks for easy experimentation.