Open Source Python Photo Editors

Image inpainting tool powered by SOTA AI Model. Remove any unwanted object, defect, or people from your pictures or erase and replace(powered by stable diffusion) anything on your pictures. Lama Cleaner is a free, open-source and fully self-hostable inpainting tool powered by state-of-the-art AI models. You can use it to remove any unwanted object, defect, or people from your pictures or erase and replace anything on your pictures. Many AICG creators are using Lama Cleaner to clean-up their work. Completely free and open-source, fully self-hosted, supports CPU & GPU. Windows 1-Click Installer, classical image inpainting algorithm powered by cv2. Multiple SOTA AI models, and various inpainting strategies. Run as a desktop application. Interactive Segmentation on any object.

This repository introduces GIMP3-ML, a set of Python plugins for the widely popular GNU Image Manipulation Program (GIMP). It enables the use of recent advances in computer vision to the conventional image editing pipeline. Applications from deep learning such as monocular depth estimation, semantic segmentation, mask generative adversarial networks, image super-resolution, de-noising and coloring have been incorporated with GIMP through Python-based plugins. Additionally, operations on images such as edge detection and color clustering have also been added. GIMP-ML relies on standard Python packages such as numpy, scikit-image, pillow, pytorch, open-cv, scipy. In addition, GIMP-ML also aims to bring the benefits of using deep learning networks used for computer vision tasks to routine image processing workflows.

Volocian believes first and foremost that financial status shouldn’t be a barrier to entry in multimedia content creation. Whether you want to design a product or website, record a band, remix a song, or produce a feature length movie with professional post production graphics and effects, Volocian™ wants to help, even if you’re using borrowed hardware with no previous experience. We provide affordable products and services for any budget, including cost-free solutions for education and demo purposes, while everything we do is designed with ease of use and flexibility in mind, to suit everyone from novice hobbyists to expert professionals. Wherever possible, Volocian™ relies on free, open source, and cross-platform software to prevent vendor lock-in, planned obsolescence, and software as a service licensing. While we remain pragmatic about the use of proprietary software, as we’re aware of the feature limitations of some open source solutions, free solutions are preferred.

The Simple xbm Image Editor presents a Tkinter GUI and has the following functions: - Create new .xbm image files and update existing files - Images are displayed in actual size and in an enlarged grid suitable for editing - Toggle the bits of the image edit grid to foreground/background with mouse clicks - Increase or decrease the width and/or height of an image - Rotate an image - Shift an image up, down, left or right - Change the colors in which an image is displayed, although colors are not stored in .xbm files. Background and foreground color selection is provided in order to experiment with colors for your application. The editor can display very large .xbm files in their actual size but the maximum bitmap size that can be edited is 2500 pixels. This limit is arbitrary and can easily be changed, but bitmap edit grid loading and, in particular, garbage collection become quite slow if the limit is a lot more than 2500 pixels. The gridMax constant sets max size.

Minimizes the number of steps required to perform scanning and photo extraction, making the process quicker and more efficient. A user-friendly interface and streamlined functionality allows you to go from document to extracted photos in just a few clicks. For more information and troubleshooting, check the readme file: https://sourceforge.net/p/pixelyse/code/ci/master/tree/README.md

An online photo editor that harnesses the power of AJAX

an easy way to personalize images.

A unique python-based image editor with low-level control. It will be able to apply fairly complex mathematical operations to individual pixels based on the contents of a script or user input at a command line. It will then be able to apply those changes to the image for a unique effect.