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README.md

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-license: apache-2.0
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+# 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)