#inpainting

IOPaint is a free, open-source tool for seamless inpainting and outpainting using cutting-edge AI models. Compatible with various OS including Windows and macOS, it features object erasure, text overlay, and object replacement. Utilize plugins for super-resolution and image segmentation. Ideal for any user looking to enhance images effortlessly.

This extension incorporates the Segment Anything tool to simplify mask creation for image inpainting on the Stable Diffusion Web UI, improving both efficiency and accuracy. It allows users to easily define areas for inpainting, optimizing workflow and ensuring quality. Installation involves simple URL input within AUTOMATIC1111's interface, supporting version 1.3.0 or higher. It offers functionalities like outpainting, mask adjustment, and specialized options for anime-style images. Using diffusers for inpainting, the extension provides advanced options for customized model applications and supports diverse models, enhancing creative capabilities.

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.

The sd-webui-segment-anything extension connects AUTOMATIC1111 Stable Diffusion WebUI, Mikubill ControlNet, and tools like segment anything and GroundingDINO to enhance inpainting and semantic segmentation. It facilitates automated image matting and LoRA/LyCORIS dataset creation, offering features such as mask expansion, API access, and layout generation. Providing adaptability through constant updates, it supports SAM-HQ, MobileSAM, and various models, while being a resourceful tool with comprehensive guides and community support.

Discover the image generation features of Stable Diffusion 2.1 through an accessible web interface. This Gradio-based application utilizes Hugging Face Diffusers to support text-to-image, image-to-image, inpainting, upscaling, and depth-to-image workflows. Engage with the project community on Discord for further insights and assistance.