| examples | ||
| min_dalle | ||
| .gitignore | ||
| image_from_text.py | ||
| LICENSE | ||
| min_dalle.ipynb | ||
| README.md | ||
| requirements.txt | ||
| setup.sh | ||
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, torch, and flax.
Setup
Run sh setup.sh to install dependencies and download pretrained models. The wandb python package is installed to download DALL·E mini and DALL·E mega. Alternatively, the models can be downloaded manually here:
VQGan,
DALL·E Mini,
DALL·E Mega
Usage
The simplest way to get started is the command line python script image_from_text.py provided. Here are some examples runs:
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
Load once run multiple times
The command line script loads the models and parameters each time. The colab notebook demonstrates how to load the models once and run multiple times.