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nathanjzhao committed Jul 24, 2024
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4 changes: 3 additions & 1 deletion README.md
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Minimal implementation of consistency models in PyTorch.

This repository was the code created as a part of Nathan's talk on Flow Matching, which also leaked a bit into Consistency Modeling, and useful optimization for flow matching that reduces the number of sampling steps required in order to reach final model prediction
This repository was the code created as a part of Nathan's talk on Flow Matching, which also leaked a bit into Consistency Modeling, a useful optimization for flow matching that reduces the number of sampling steps required in order to reach final model prediction.

The key idea is moving from noisy images to non-noisy images by following a flow "path" between Gaussian noise and the target image!

## Getting Started

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2 changes: 2 additions & 0 deletions mypy.ini
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python_version = 3.8
warn_return_any = True
warn_unused_configs = True
install_types = True
non_interactive = True

# Ignore missing imports for torchvision
[mypy-torchvision.*]
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