# openai/glide-text2im

GLIDE: a diffusion-based text-conditional image synthesis model

Repository: https://github.com/openai/glide-text2im
Canonical: https://ross.abutalabs.com/products/glide-text2im
Language: Python
License: MIT
License Family: permissive
Archived: true
Last push: 2024-03-08T08:44:28+00:00

## Health v2 (maintenance only)
Score: 10/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 1727, "days_push": 908, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, archived
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 3684, forks 498 (observed 2026-08-28T04:08:13.820062+00:00)

## What it is
Official codebase for GLIDE, a diffusion-based text-conditional image synthesis model from OpenAI. It provides pretrained models and notebooks for text-to-image generation, text-guided inpainting, and CLIP-guided sampling.

## Use cases
- generate images from text prompts
- inpaint a masked region of an image guided by a text description
- run CLIP-guided diffusion sampling for image synthesis
- experiment with classifier-free guidance in diffusion models
- reproduce GLIDE research results

## When to choose
- you want to run the original filtered GLIDE model for text-to-image generation
- you need text-guided inpainting with a diffusion model
- you are researching diffusion-based image synthesis and want reference code

## When to avoid
- you need state-of-the-art image quality from a modern text-to-image model
- you want a production-ready or actively maintained image generation service
- you lack a GPU or cannot run large pretrained models locally

## Facets
- artifact type: library
- maturity: maintenance
- function: machine-learning, deep-learning, image-processing
- domain: artificial-intelligence, machine-learning, image-processing
- platform: python
- tags: diffusion-models, text-to-image, image-generation, inpainting, clip, research-code, gpu

## Member repositories
- openai/glide-text2im (main) score 10

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:13.820062+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 2026-08-29T18:31:11.449847+00:00, confidence not recorded.
  - readme: https://github.com/openai/glide-text2im (fetched 2026-08-28T04:08:13.820062+00:00, sha 18cbb054de3b)
- Data as of 2026-08-30T08:39:29.467469+00:00.