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README.md
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The model uses a compact **13M parameter Variational Autoencoder (VAE)** for latent-space encoding and decoding.
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## Example Generated
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Below is a sample
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<p align="center" style="display: flex;">
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<img src="images/sample.webp" width="64"/>
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The model uses a compact **13M parameter Variational Autoencoder (VAE)** for latent-space encoding and decoding.
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## Example Generated Images
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Below is a sample images generated by TinyDiT:
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<p align="center" style="display: flex;">
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<img src="images/sample.webp" width="64"/>
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