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# min DALL·E
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This is a minimal implementation of [DALL·E Mini](https://github.com/borisdayma/dalle-mini) in both Flax and PyTorch
### Setup
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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. You can also download those files manually by visting the links in the bash script.
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### Run
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Here are some examples
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```
python3 image_from_text_flax.py \
--dalle_bart_path='./pretrained/dalle_bart_mega' \
--vqgan_path='./pretrained/vqgan' \
--image_path='./generated/avacado_armchair_flax.png' \
--seed=4 \
--text='a comfy chair that looks like an avocado'
```
![Avocado Armchair](examples/avocado_armchair.png)
```
python3 image_from_text_flax.py \
--dalle_path='./pretrained/dalle-mega' \
--seed=100 \
--image_path='./generated/godzilla_trial.png' \
--text='court sketch of godzilla on trial'
```
![Godzilla Trial](examples/godzilla_trial.png)