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Update README.md

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  inference: false
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  ---
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  # Improved Autoencoders
 
 
 
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  ## Decoder Finetuning
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  We publish two kl-f8 autoencoder versions, finetuned from the original [kl-f8 autoencoder](https://github.com/CompVis/latent-diffusion#pretrained-autoencoding-models).
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  The first, _ft-EMA_, was resumed from the original checkpoint, trained for 313198 steps and uses EMA weights.
 
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  inference: false
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  ---
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  # Improved Autoencoders
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+
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+ ## Utilizing
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+ These weights are intended to be used with the original [CompVis Stable Diffusion codebase](https://github.com/CompVis/stable-diffusion). If you are looking for the model to use with the D🧨iffusers library, [come here](https://huggingface.co/CompVis/stabilityai/sd-vae-ft-mse).
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  ## Decoder Finetuning
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  We publish two kl-f8 autoencoder versions, finetuned from the original [kl-f8 autoencoder](https://github.com/CompVis/latent-diffusion#pretrained-autoencoding-models).
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  The first, _ft-EMA_, was resumed from the original checkpoint, trained for 313198 steps and uses EMA weights.