Better sorting of datasets in description

README.md

@@ -7,13 +7,15 @@ A collection of regularization / class instance datasets for the [Stable Diffusi
 
 Currently this repository contains the following datasets (datasets are named after the prompt they used):
 
+Art Styles
+
 * "**artwork style**": 4125 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
 * "**illustration style**": 3050 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
-* "**fighter jet**": 1600 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
+* "**erotic photography**": 2760 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
-* "**train**": 2669 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
+People
 
 * "**person**": 2115 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
@@ -21,12 +23,20 @@ Currently this repository contains the following datasets (datasets are named af
 
 * "**guy**": 4820 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
-* "**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.
 
+* "**bikini model**": 4260 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
+
+Animals
+
 * "**kitty**": 5100 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
 
+Vehicles
+
+* "**fighter jet**": 1600 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
+
+* "**train**": 2669 images generated using 50 DDIM steps and a CFG of 7, using the MSE VAE.
+
 
 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.