qapyq
Organize, caption, crop, and mask large media datasets for diffusion training.
- Stars
- 163
- Forks
- 10
- Updated
- Updated Jul 13, 2026
Organize, caption, crop, and mask large media datasets for diffusion training.
qapyq is a desktop media curator for preparing large image and video datasets used in LoRA and diffusion workflows. It combines browsing, filtering, caption and tag editing, cropping, scaling, masking, statistics, and batch operations, with optional local or SSH-based model inference. Users can install only the graphical and media-processing components when AI assistance is unnecessary. It requires Python 3.10 or later, and video export additionally depends on FFmpeg.
Resource types
Use cases
Runtime
Public GitHub facts last synced Jul 14, 2026.
Stream and download music from pluggable sources on desktop and mobile.
Play and manage NetEase Cloud Music through a clean desktop or web client.
An unofficial YouTube Music desktop app with themes and plugins
Generate images, video, and audio from a desktop or browser studio.