# min(DALL·E)

[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/kuprel/min-dalle/blob/main/min(DALL·E).ipynb)

This is a minimal implementation of [DALL·E Mini](https://github.com/borisdayma/dalle-mini) in both Flax and PyTorch

### Setup

Run `sh setup.sh` to install dependencies and download pretrained models.  The only required dependencies are `flax` and `torch`.  In the bash script, GitHub LFS is used to download the VQGan detokenizer 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: https://huggingface.co/dalle-mini/vqgan_imagenet_f16_16384

DALL·E Mini: https://wandb.ai/dalle-mini/dalle-mini/artifacts/DalleBart_model/mini-1/v0/files

DALL·E Mega: https://wandb.ai/dalle-mini/dalle-mini/artifacts/DalleBart_model/mega-1-fp16/v14/files

### Run

Here are some examples

```
python image_from_text.py --seed=7 --text='alien life'
```
![Alien](examples/alien.png)


```
python image_from_text.py --mega --seed=4 --text='a comfy chair that looks like an avocado'
```
![Avocado Armchair](examples/avocado_armchair.png)


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

![Godzilla Trial](examples/godzilla_trial.png)