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README.md
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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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# Improved Autoencoders
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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-ema).
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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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