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README.md

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 A collection of regularization / class instance datasets for the [Stable Diffusion v1-5](https://huggingface.co/runwayml/stable-diffusion-v1-5) model to use for DreamBooth prior preservation loss training. Files labeled with "mse vae" used the [stabilityai/sd-vae-ft-mse](https://huggingface.co/stabilityai/sd-vae-ft-mse) VAE. For ease of use, datasets are stored as zip files containing 512x512 PNG images. The number of images in each zip file is specified at the end of the filename.
 
 
-Currently this repository contains the following datasets:
+Currently this repository contains the following datasets (datasets are named after the prompt they used):
 
 * "**artwork style**": 4125 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
@@ -22,3 +22,8 @@ Currently this repository contains the following datasets:
 * "**erotic photography**": 2760 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
 * "**supermodel**": 4411 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
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+I used the "Generate Forever" feature in [AUTOMATIC1111's WebUI](https://github.com/AUTOMATIC1111/stable-diffusion-webui) to create thousands of images for each dataset. Every image in a particular dataset uses the exact same settings, with only the seed value being different.
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+You can use my regularization / class image datasets with: https://github.com/ShivamShrirao/diffusers, https://github.com/JoePenna/Dreambooth-Stable-Diffusion, https://github.com/TheLastBen/fast-stable-diffusion, and any other DreamBooth projects that have support for prior preservation loss.