37 lines
1.3 KiB
Markdown
37 lines
1.3 KiB
Markdown
# min(DALL·E)
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[![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)
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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. These models can also be downloaded manually:
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VQGan: https://huggingface.co/dalle-mini/vqgan_imagenet_f16_16384
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DALL·E Mini: https://wandb.ai/dalle-mini/dalle-mini/artifacts/DalleBart_model/mini-1/v0/files
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DALL·E Mega: https://wandb.ai/dalle-mini/dalle-mini/artifacts/DalleBart_model/mega-1-fp16/v14/files
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### Run
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Here are some examples
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```
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python image_from_text.py --seed=7 --text='alien life'
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```
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![Alien](examples/alien.png)
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```
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python image_from_text.py --mega --seed=4 --text='a comfy chair that looks like an avocado'
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```
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![Avocado Armchair](examples/avocado_armchair.png)
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```
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python image_from_text.py --mega --seed=100 --text='court sketch of godzilla on trial'
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```
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![Godzilla Trial](examples/godzilla_trial.png) |