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  # DC-AE-Lite
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  \[[github](https://github.com/dc-ai-projects/DC-Gen/tree/main)\]
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- Decoding is often the speed bottleneck in few-step latent diffusion models. We release DC-AE-Lite with the same encoder of DC-AE-f32c32-SANA-1.0 while having a much smaller decoder. Without training, it can be applied to diffusion model trained with DC-AE-f32c32-SANA-1.0.
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  ## Demo
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  <p align="center">
 
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  # DC-AE-Lite
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  \[[github](https://github.com/dc-ai-projects/DC-Gen/tree/main)\]
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+ Decoding is often the speed bottleneck in few-step latent diffusion models. We release DC-AE-Lite to resolve this problem. It has the same encoder of DC-AE-f32c32-SANA-1.0 while having a much smaller decoder. Without training, it can be applied to diffusion model trained with DC-AE-f32c32-SANA-1.0.
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  ## Demo
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  <p align="center">