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...PhotoEditor v.1.0.0 is a migration to androidX and dropping the support of the older support library. There are no API changes. If you find any issues migrating to v.1.0.0, please follow this Guide. If you still facing the issue then you can always rollback to v.0.4.0.

...It functions as an alternative to proprietary AI design tools by allowing users to connect their own models and run everything locally or deploy it as a web application. The system includes a library of design skills and brand-grade design systems that guide the generation process, ensuring consistency and quality. It integrates with various agent environments, turning them into fully capable design engines. The workflow produces structured outputs such as websites, dashboards, and presentations, rendered in real time. Its architecture emphasizes openness, modularity, and user ownership of data. ...

...The build scripts are cmake-based, so make sure to have it installed and generate the project files for your desired ide. After setting up everything, make sure to check out the compilation guide.

FastPhotoTagger tries to be the fastest way to set the metadata in your photos. Add, change, delete, and search the metadata fields of your choice. FastPhotoTagger excels when you have lots of files and lots of metadata. With FastPhotoTagger, you can - Set multiple images to have the same tags - Set individual images to have unique tags - Display all the metadata in an image - Compare and edit all the metadata in several images - Work with your favorite metadata fields: EXIF, XMP,...

SteamCAD2 is a full featured 2D CAD for precise drawing with emphasis on artistic like output. It can export the drawings to variety of formats such as pdf, eps, svg, png and others. The source code contains user guide in pdf format (SteamCAD2.pdf). The software is available both for Linux and Windows systems.

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...