# pixray/pixray

Repository: https://github.com/pixray/pixray
Canonical: https://ross.abutalabs.com/products/pixray
Language: Python
License: NOASSERTION
License Family: other
Last push: 2023-09-24T11:28:53+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 1745, "days_push": 1074, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1042, forks 128 (observed 2026-08-28T04:03:20.892117+00:00)

## What it is
Pixray is a Python library and command-line utility for text-to-image generation, combining CLIP-guided GAN imagery, pixel-art drawers, and latent space navigation techniques. It can also be run in Google Colab notebooks or Docker via Cog.

## Use cases
- generate images from text prompts
- create pixel art with AI
- run CLIP-guided image generation
- experiment with generative art in Colab
- generate vdiff images with custom aesthetic loss

## When to choose
- you want a scriptable Python text-to-image generator
- you want pixel-art style AI image generation
- you want to run image generation in Colab notebooks

## When to avoid
- you need modern diffusion models like Stable Diffusion with active development
- you need a polished GUI application
- you need a permissively licensed library for commercial use

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, machine-learning, cli
- domain: artificial-intelligence, image-processing, graphics
- platform: python, cli
- tags: text-to-image, clip-guided-generation, pixel-art, generative-art, vqgan, colab-notebooks, gpu

## Member repositories
- pixray/pixray (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:20.892117+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 2026-08-30T07:02:48.015810+00:00, confidence not recorded.
  - readme: https://github.com/pixray/pixray (fetched 2026-08-28T04:03:20.892117+00:00, sha dba2610adc2b)
- Data as of 2026-08-30T08:39:29.467469+00:00.