CLI appImage generation and editing

dreamifly-batch

Batches Dreamifly image and video generation with local results.

Stars: 2
Forks: 0
Updated: Updated Jun 26, 2026

CLI appImage generation and editing

dreamifly-batch

Batches Dreamifly image and video generation with local results.

Stars: 2
Forks: 0
Updated: Updated Jun 26, 2026

CLI appImage generation and editing

chatgpt-imagegen

@leeguoooooPython

Generate, edit, and animate images from the command line with a ChatGPT account.

Project overview

chatgpt-imagegen lets a CLI or agent use a signed-in ChatGPT account to generate and edit images, apply shared styles, and turn model-produced sprite sheets into WebP or GIF animations. Its default backend drives a logged-in browser, with a Codex-based fallback available. The tool relies on undocumented internal endpoints, so it may break as the platform changes and should not power a public image-generation service.

Stars: 279
Forks: 25
License: MIT

CLI appImage generation and editing

ai-image-upscaler

@Mariano215Python

Upscale images into exact-DPI, print-ready TIFFs with Real-ESRGAN.

Stars: 1
Forks: 0
License: MIT

Desktop appImage generation and editingAndroid

RapidRAW

@CyberTimonTypeScript

Edit and organize RAW photos with a GPU-accelerated, non-destructive workflow.

Project overview

RapidRAW is a lightweight RAW editor for Windows, macOS, Linux, and Android, using a GPU-accelerated 32-bit processing pipeline for responsive, non-destructive adjustments. It includes layer masks, subject and sky detection, and optional generative edits through an AI backend. For high-resolution RAW files and complex masking, the project recommends at least 16 GB of memory and a reasonably modern dedicated GPU.

Stars: 8,836
Forks: 444
License: AGPL-3.0

Web appImage generation and editingLinux

jspaint

@1j01JavaScript

Use a browser-based remake of classic Microsoft Paint

Project overview

JS Paint recreates the tools and menus of classic Microsoft Paint in a web application, with touch support, themes, extra file types, and accessibility-oriented controls. Users can load images from URLs, upload to Imgur, and create experimental multi-user sessions. Those sessions are explicitly not private and may interrupt each other or lose work, so they are unsuitable for dependable collaborative editing.

Stars: 7,822
Forks: 663
License: MIT

dreamifly-batch

dreamifly-batch

Project overview

Repository facts

Related projects

chatgpt-imagegen

ai-image-upscaler

RapidRAW

jspaint