# brycedrennan/imaginAIry

Pythonic AI generation of images and videos

Repository: https://github.com/brycedrennan/imaginAIry
Canonical: https://ross.abutalabs.com/products/imaginairy
Language: Python
License: MIT
License Family: permissive
Last push: 2026-02-24T23:59:03+00:00

## Health v2 (maintenance only)
Score: 63/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 69, release rhythm 35, longevity 100
- inputs: {"age_days": 1451, "days_push": 190, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 8179, forks 471 (observed 2026-08-28T04:10:19.469482+00:00)

## What it is
A Python library and CLI tool (imaginairy/aimg) for generating images and videos with Stable Diffusion and Stable Video Diffusion models. It provides a Pythonic API plus command-line commands for text-to-image and image-to-video generation.

## Use cases
- generate images from text prompts with stable diffusion
- create AI videos from a starting image
- batch generate AI art from the command line
- programmatically generate images in Python
- convert a photo into a short animated video
- run stable diffusion locally on a GPU

## When to choose
- you want a simple pip-installable Python API or CLI for stable diffusion image/video generation
- you work on Linux or Apple Silicon Mac and want something that 'just works'
- you want both text-to-image and image-to-video in one tool

## When to avoid
- you need a full GUI application for image generation
- you need video generation on Mac or CPU-only machines
- you need the latest model support or a maintained ecosystem like ComfyUI or diffusers

## Facets
- artifact type: library
- maturity: active
- function: image-processing, video-processing, machine-learning, cli
- domain: artificial-intelligence, image-processing, deep-learning
- platform: python, windows, cli
- tags: stable-diffusion, text-to-image, image-generation, stable-video-diffusion, text-to-video, ai-art, video, linux, macos, gpu

## Member repositories
- brycedrennan/imaginAIry (main) score 63

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:10:19.469482+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-29T17:29:34.681979+00:00, confidence not recorded.
  - readme: https://github.com/brycedrennan/imaginAIry (fetched 2026-08-28T04:10:19.469482+00:00, sha 05148d7244dc)
  - registry_pypi: https://pypi.org/pypi/imaginairy/json (fetched 2026-08-29T08:28:17.486148+00:00, sha fbd275168a58)
- Data as of 2026-08-30T08:39:29.467469+00:00.