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README.md
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Trained with DINOv2 semantic alignment, this VAE was empirically found to
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offer comparable downstream diffusion convergence speed to other semantically
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aligned VAEs such as Flux.2 and PS-VAE
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and decode and achieving very high reconstruction quality (38.6 dB mean PSNR
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on 2k images).
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Trained with DINOv2 semantic alignment, this VAE was empirically found to
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offer comparable downstream diffusion convergence speed to other semantically
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| 23 |
+
aligned VAEs such as Flux.2 and PS-VAE, while being much faster to encode
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and decode and achieving very high reconstruction quality (38.6 dB mean PSNR
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on 2k images).
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