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Brett Kuprel 2022-07-04 10:54:25 -04:00
parent ecc1534f87
commit 8f7f0ba756
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README.md vendored
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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. 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.
To generate a 4x4 grid of DALL·E Mega images it takes To generate a 4x4 grid of DALL·E Mega images it takes
- **1m 29s seconds** with a T4 in Colab - 89 sec with a T4 in Colab
- **48 seconds** with a P100 in Colab - 48 sec with a P100 in Colab
- **16 seconds** with an A100 on Replicate - 16 sec with an A100 on Replicate
- **TBD** with an H100 (@NVIDIA?) - 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). 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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setup.py
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@ -5,7 +5,7 @@ setuptools.setup(
name='min-dalle', name='min-dalle',
description = 'min(DALL·E)', description = 'min(DALL·E)',
long_description=(Path(__file__).parent / "README.rst").read_text(), long_description=(Path(__file__).parent / "README.rst").read_text(),
version='0.2.16', version='0.2.17',
author='Brett Kuprel', author='Brett Kuprel',
author_email='brkuprel@gmail.com', author_email='brkuprel@gmail.com',
url='https://github.com/kuprel/min-dalle', url='https://github.com/kuprel/min-dalle',