What is glide-text2im?

openai/glide-text2im — explained in plain English

Analysis updated 2026-07-03

★ 3,690PythonAudience · researcherComplexity · 3/5Setup · easy

Mindmap

mindmap
  root((glide-text2im))
    What it does
      Text to image generation
      Image inpainting
    How it works
      Diffusion model
      Noise to image
      Text guidance
    Modes
      Text to image
      Inpainting masked region
      CLIP-guided generation
    Setup
      Google Colab notebooks
      Local install one command
    Audience
      AI researchers
      ML practitioners

mindmap root((glide-text2im)) What it does Text to image generation Image inpainting How it works Diffusion model Noise to image Text guidance Modes Text to image Inpainting masked region CLIP-guided generation Setup Google Colab notebooks Local install one command Audience AI researchers ML practitioners

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What do people build with it?

USE CASE 1

Generate a photo-realistic image from a text prompt like 'a corgi wearing a red hat' without any local GPU setup using the Colab notebooks.

USE CASE 2

Mask out a region of an existing image and fill it in with AI-generated content guided by a text description.

USE CASE 3

Experiment with CLIP-guided image generation as an alternative sampling approach using the included example notebook.

USE CASE 4

Study a reference diffusion model implementation from OpenAI to understand how text-to-image generation works technically.

What is it built with?

PythonPyTorch

How does it compare?

	openai/glide-text2im	camelot-dev/camelot	purpleailab/decepticon
Stars	3,690	3,691	3,691
Language	Python	Python	Python
Setup difficulty	easy	easy	moderate
Complexity	3/5	2/5	4/5
Audience	researcher	data	ops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · easy Time to first run · 30min

Can run directly in Google Colab with no local setup, local use requires cloning the repo and running one install command.

License terms are not described in the explanation, this is a research release with a reduced public model.

So what is it?

GLIDE is a research model from OpenAI that generates images from text descriptions. You type a description like "a corgi wearing a red hat" and the model produces a photo-realistic image matching that description. It also supports inpainting, which means you can take an existing image, mask out a region of it, and ask the model to fill in that region based on a text prompt. The model works using a technique called diffusion, which starts with random noise and gradually refines it into a coherent image guided by the text input. The version released in this repository is a smaller, filtered version of the full model described in OpenAI's research paper. OpenAI released this reduced version publicly while keeping the full model internal, citing concerns about potential misuse. The repository includes three example notebooks that walk through the main use cases: generating images from text, filling in masked regions of images, and an alternative generation approach that uses a separate model called CLIP to guide the image quality. Each notebook can be run directly in a browser using Google Colab without any local setup. Installation requires cloning the repository and running a single install command. The README is brief and points primarily to the notebooks for usage details.

Copy-paste prompts

Prompt 1

I want to run the GLIDE text-to-image notebook in Google Colab. Walk me through opening the notebook, entering a prompt, and saving the generated image.

Prompt 2

Show me how to use GLIDE's inpainting feature: load an image, create a mask for the region I want to replace, and generate a fill based on a text prompt.

Prompt 3

Explain how the GLIDE diffusion process works step by step, starting from random noise and ending at a coherent image, in plain English.

Prompt 4

I'm comparing GLIDE's default diffusion guidance with the CLIP-guided approach. What is CLIP doing differently, and when would I prefer one over the other?

Frequently asked questions