32 lines
1.1 KiB
Markdown
32 lines
1.1 KiB
Markdown
# 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
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### 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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```
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python3 image_from_text_flax.py \
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--dalle_bart_path='./pretrained/dalle_bart_mega' \
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--vqgan_path='./pretrained/vqgan' \
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--image_path='./generated/avacado_armchair_flax.png' \
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--seed=4 \
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--text='a comfy chair that looks like an avocado'
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```
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```
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python3 image_from_text_flax.py \
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--dalle_path='./pretrained/dalle-mega' \
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--seed=100 \
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--image_path='./generated/godzilla_trial.png' \
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--text='court sketch of godzilla on trial'
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```
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