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This is a fast, minimal implementation of Boris Dayma's [DALL·E Mega](https://github.com/borisdayma/dalle-mini). It has been stripped down for inference and converted to PyTorch. The only third party dependencies are numpy, requests, pillow and torch.
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To generate a 4x4 grid of DALL·E Mega images it takes
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- **1m 29s seconds** with a T4 in Colab
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- **48 seconds** with a P100 in Colab
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- **16 seconds** with an A100 on Replicate
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- **TBD** with an H100 (@NVIDIA?)
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- 89 sec with a T4 in Colab
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- 48 sec with a P100 in Colab
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- 16 sec with an A100 on Replicate
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- TBD with an H100 (@NVIDIA?)
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The flax model and code for converting it to torch can be found [here](https://github.com/kuprel/min-dalle-flax).
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