pixray/pixray
None observed · 2026-08-28
Health v2 · maintenance only
23/100
- Activity 0
- Release rhythm 8
- Longevity 100
Flags: no_license
How is this computed?
round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.
- gap_med: n/a
- age_days: 1745
- days_rel: n/a
- days_push: 1074
- n_releases_24m: 0
Adoption not part of the score
1042 stars · 128 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
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
library · maturity maintenance
image-processing machine-learning cli artificial-intelligence image-processing graphics python cli text-to-image clip-guided-generation pixel-art generative-art vqgan colab-notebooks gpu
1 source
- readme: https://github.com/pixray/pixray · fetched 2026-08-28 · dba2610adc2b
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| pixray/pixray | main | 23 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem