#Image Inpainting

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.

Diffusion Bee provides an intuitive platform for running Stable Diffusion AI imaging on MacOS without needing technical skills. Ensure complete data privacy with no cloud-based data transfer. Key features include image-to-image, inpainting, and comprehensive prompt customization. Compatible with Intel and M1/M2 processors, and supports multiple models, including SD 1.x, SD 2.x, and SD XL. Simplified installation and direct model downloads are integrated within the application.

A detailed review of notable AI advancements made in 2022, with an emphasis on ethical standards, governance models, and transformative applications. Offering insights on the evolution of AI, this review highlights key innovations expected to improve quality of life and calls for conscientious technology application. Includes video explanations and links to scholarly articles and code repositories for a comprehensive understanding of current AI developments.

PowerPaint offers versatile image inpainting capabilities, supporting tasks like text-guided object inpainting, object removal, and more. Utilizing tailored task prompts, it maintains accuracy and versatility. Recently, PowerPaint v2-1 and v2 models have been open-sourced, with improvements for enhanced performance. Compatible with ControlNet and BrushNet for precise image editing, PowerPaint suits various inpainting needs.

BrushNet is a diffusion-based image inpainting model that integrates easily with pre-trained systems. Its dual-branch diffusion approach effectively addresses image completion tasks and enhances control by separating masked image features and noisy latent spaces. The model offers adaptable training and inference capabilities, with detailed deployment instructions. Recognized for its innovative design, BrushNet won top prizes at the CVPR2024 GenAI Media Generation Challenge.