# ImageNet.3GB: Compressed ImageNet using Google SANA’s VAE

This dataset provides a **compressed version of ImageNet** using **Google SANA’s VAE**  
([mit-han-lab/dc-ae-f32c32-sana-1.1-diffusers](https://huggingface.co/mit-han-lab/dc-ae-f32c32-sana-1.1-diffusers))  
and **8-bit quantization**, reducing the size to just **3GB** while preserving high-quality reconstructions.

- **Original ImageNet (256x256 JPEG):** 16GB  
- **Float32 latent representation:** 12GB  
- **This dataset (8-bit latents):** 3GB  

### Usage  
For encoding, decoding, and more details, visit the **GitHub repository**:  
[**rotem154154/ImageNet.3GB**](https://github.com/rotem154154/ImageNet.3GB)