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@@ -122,10 +122,6 @@ Stable Diffusion v2 mirrors and exacerbates biases to such a degree that viewer
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## Training
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**Training Data**
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The model developers used the following dataset for training the model:
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- LAION-5B and subsets (details below). The training data is further filtered using LAION's NSFW detector, with a "p_unsafe" score of 0.1 (conservative). For more details, please refer to LAION-5B's [NeurIPS 2022](https://openreview.net/forum?id=M3Y74vmsMcY) paper and reviewer discussions on the topic.
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**Training Procedure**
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Stable Diffusion v2 is a latent diffusion model which combines an autoencoder with a diffusion model that is trained in the latent space of the autoencoder. During training,
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## Training
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**Training Data**
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**Training Procedure**
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Stable Diffusion v2 is a latent diffusion model which combines an autoencoder with a diffusion model that is trained in the latent space of the autoencoder. During training,
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