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.
It takes
- **32 seconds** to generate a 3x3 grid with a P100 in Colab
- **16 seconds** to generate a 4x4 grid with an A100 on Replicate
- **TBD** to generate a 4x4 grid with an H100 (@NVIDIA?)
To generate a 4x4 grid of DALL·E Mega images it takes
- **1m 29s seconds** with a T4 in Colab
- **48 seconds** with a P100 in Colab
- **16 seconds** with an A100 on Replicate
- **TBD** with an H100 (@NVIDIA?)
The flax model and code for converting it to torch can be found [here](https://github.com/kuprel/min-dalle-flax).
Brett Kuprel
2 years ago