Brett Kuprel aef24ea157 torch.no_grad(), cleanup		2 years ago
examples	simplified	2 years ago
min_dalle	torch.no_grad(), cleanup	2 years ago
.gitignore	examples	2 years ago
LICENSE	license and cleanup	2 years ago
README.md	torch.no_grad(), cleanup	2 years ago
image_from_text.py	fixed an issue with argument parser	2 years ago
min_dalle.ipynb	torch.no_grad(), cleanup	2 years ago
requirements.txt	fix requirements.txt	2 years ago
setup.sh	torch.no_grad(), cleanup	2 years ago

README.md

min(DALL·E)

This is a minimal implementation of DALL·E Mini. It has been stripped to the bare essentials necessary for doing inference, and converted to PyTorch. The only third party dependencies are numpy and torch for the torch model and flax for the flax model.

Setup

Run sh setup.sh to install dependencies and download pretrained models. In the bash script, Git LFS is used to download the VQGan detokenizer from Hugging Face and the Weight & Biases python package is used to download the DALL·E Mini and DALL·E Mega transformer models. These models can also be downloaded manually: VQGan, DALL·E Mini, DALL·E Mega

Usage

Use the command line python script image_from_text.py to generate images. Here are some examples:

python image_from_text.py --text='alien life' --seed=7

python image_from_text.py --text='a comfy chair that looks like an avocado' --mega --seed=4

python image_from_text.py --text='court sketch of godzilla on trial' --mega --seed=100