AutoencoderKL

A research-friendly PyTorch Lightning toolkit for training, fine-tuning, and benchmarking AutoencoderKL for Stable Diffusion, FLUX, and beyond.

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91 Stars

9 Forks

2 Watchers

Python Language

mit License

100 SrcLog Score

Cost to Build

$396.2K

Market Value

$1.14M

How is this calculated?

Growth over time

1 data points · 2026-09-20 → 2026-09-20

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What is the lavinal712/AutoencoderKL GitHub project? Description: "A research-friendly PyTorch Lightning toolkit for training, fine-tuning, and benchmarking AutoencoderKL for Stable Diffusion, FLUX, and beyond.". Written in Python. Explain what it does, its main use cases, key features, and who would benefit from using it.

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How to clone AutoencoderKL

Clone via HTTPS

git clone https://github.com/lavinal712/AutoencoderKL.git

Clone via SSH

[email protected]:lavinal712/AutoencoderKL.git

Download ZIP

Download main.zip

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Report bugs or request features on the AutoencoderKL issue tracker:

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