GLIDE

This is a fork of the official codebase for running the small, filtered-data GLIDE model from GLIDE: Towards Photorealistic Image Generation and Editing with Text-Guided Diffusion Models.

For details on the pre-trained models in this repository, see the Model Card.

Usage

To install this package, clone this repository and then run:

pip install -e .

For detailed usage examples, see the notebooks directory.

• The text2im notebook shows how to use GLIDE (filtered) with classifier-free guidance to produce images conditioned on text prompts. The local version of this notebook is text2im.py
• The inpaint notebook shows how to use GLIDE (filtered) to fill in a masked region of an image, conditioned on a text prompt. The local version of this notebook is inpaint.py.
• The clip_guided notebook shows how to use GLIDE (filtered) + a filtered noise-aware CLIP model to produce images conditioned on text prompts. The local version of this notebook is clip_guided.py.

Local versions

The local versions of the notebooks are as close as possible to the original notebooks, which remain unchanged here. Changes to local versions include:

• No need for "display"
• Individual images are also saved, as well as the image strip (only upscaled images are saved by default)