#LaMa

LaMa's robust inpainting technology enables high-resolution image processing using Fourier convolutions, excelling in complex scenarios. Originally trained at 256x256, it scales effectively to 2k resolution. The project supports development across various environments and integrates with platforms like Huggingface Spaces, with resources enabling diverse use cases.

Explore inpainting capabilities with versatile nodes and models like Fooocus, LaMa, and MAT in ComfyUI. This repository offers tools for smooth image modification, aiding in pre-processing and conditioning. Utilize features such as mask expansion, blurring, and filling techniques to enhance imagery. Simple installation ensures easy integration, increasing the efficiency of inpainting tasks with practical applications.