Aozora_SDXL_Training

A highly memory-efficient layer-selective fine-tuning script for Stable Diffusion XL (SDXL) that trains only your chosen UNet layers while freezing the rest, allowing full-quality fine-tuning on just 12 GB VRAM.

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13 Stars

1 Forks

13 Watchers

Python Language

93.3 SrcLog Score

Cost to Build

$7.98M

Market Value

$14.93M

How is this calculated?

Growth over time

1 data points · 2026-04-08 → 2026-04-08

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What is the Hysocs/Aozora_SDXL_Training GitHub project? Description: "A highly memory-efficient layer-selective fine-tuning script for Stable Diffusion XL (SDXL) that trains only your chosen UNet layers while freezing the rest, allowing full-quality fine-tuning on just 12 GB VRAM.". 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 Aozora_SDXL_Training

Clone via HTTPS

git clone https://github.com/Hysocs/Aozora_SDXL_Training.git

Clone via SSH

[email protected]:Hysocs/Aozora_SDXL_Training.git

Download ZIP

Download master.zip

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