# Shiriluz/Word-As-Image

Repository: https://github.com/Shiriluz/Word-As-Image
Canonical: https://ross.abutalabs.com/products/word-as-image
Language: Python
License: NOASSERTION
License Family: other
Last push: 2023-09-26T12:39:29+00:00

## Health v2 (maintenance only)
Score: 30/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 91
- inputs: {"age_days": 1281, "days_push": 1072, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1144, forks 87 (observed 2026-08-28T04:03:45.089557+00:00)

## What it is
Official implementation of the Word-As-Image semantic typography technique (SIGGRAPH 2023), which automatically illustrates letters so they visually convey the meaning of a word while staying legible. It optimizes letter outlines guided by a pretrained Stable Diffusion model, producing black-and-white SVG-style designs.

## Use cases
- generate semantic letter illustrations from words
- create word-as-image typography designs automatically
- distill textual concepts into letterform visuals
- produce stylized logos from a single word
- research semantic typography with diffusion models

## When to choose
- you want to automatically turn words into semantically meaningful letter art
- you need a research-grade implementation of the SIGGRAPH 2023 method
- you want simple black-and-white letter designs that preserve font style and readability

## When to avoid
- you need colorful or heavily embellished typography
- you want a polished end-user design tool rather than research code
- you lack a GPU or cannot set up the pinned conda/diffusers environment

## Facets
- artifact type: library
- maturity: maintenance
- function: image-processing, machine-learning, graphics
- domain: computer-vision, artificial-intelligence, graphics, web-design
- platform: python
- tags: semantic-typography, stable-diffusion, letter-optimization, svg, research-code, siggraph, gpu, linux

## Member repositories
- Shiriluz/Word-As-Image (main) score 30

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:45.089557+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 2026-08-30T06:34:43.349573+00:00, confidence not recorded.
  - readme: https://github.com/Shiriluz/Word-As-Image (fetched 2026-08-28T04:03:45.089557+00:00, sha 7835175b82a0)
- Data as of 2026-08-30T08:39:29.467469+00:00.