Desktop appMedia, audio and video

qapyq

Organize, caption, crop, and mask large media datasets for diffusion training.

Stars
163
Forks
10
License
AGPL-3.0
Updated
Updated Jul 13, 2026

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Project overview

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.

Repository facts

Primary language
Python
License
AGPL-3.0
Repository updated
Jul 13, 2026
Default branch
main

Resource types

Desktop app

Use cases

Media, audio and video

Runtime

Desktop

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