update README

README.md

@@ -16,17 +16,17 @@ If you make something using these models, you're welcome to mention me [@thegene
 
 Named by dataset used. Current and best version is [models/ukiyoe-all/v1/ema_0.9999_056000.pt](models/ukiyoe-all/v1/ema_0.9999_056000.pt)
 
-## Current Plans
+# Current Plans
 
 * clean dataset
   * remove borders
   * remove some of the samples with text in them
 
-## Models
+# Models
 
-### Ukiyoe-all
+## Ukiyoe-all
 
-#### v1
+### v1
 
 [models/ukiyoe-all/v1/ema_0.9999_056000.pt](models/ukiyoe-all/v1/ema_0.9999_056000.pt)
 
@@ -49,38 +49,40 @@ model_config = {
     'use_scale_shift_norm': True,
 }
 ```
-##### Tips
+#### Tips
 
 - Results closest to original training data are achieved by turning off the secondary model in Disco Diffusion.
 - Turning secondary model on can lead to very creative results
 - It is not necessary to specify Ukiyo-e as artstyle to get ukiyo-e-like images.
 
-##### Examples
+#### Examples
 
 If you make something nice using these models, I would like to link your image.
 
-###### Secondary Off
+##### Secondary Off
 
 ![](models/ukiyoe-all/v1/images/secondary_off_3.png)
 ![](models/ukiyoe-all/v1/images/secondary_off_0.png)
 ![](models/ukiyoe-all/v1/images/secondary_off_1.png)
 ![](models/ukiyoe-all/v1/images/secondary_off_2.png)
 
-###### Secondary On
+##### Secondary On
 
 ![](models/ukiyoe-all/v1/images/secondary_on_0.png)
 ![](models/ukiyoe-all/v1/images/secondary_on_1.png)
 ![](models/ukiyoe-all/v1/images/secondary_on_2.png)
 
 
-##### About
+#### About
 Trained from scratch on a ~170000 images corpus of [ukiyo-e.org](https://ukiyo-e.org) filtered by [colorfulness](https://pyimagesearch.com/2017/06/05/computing-image-colorfulness-with-opencv-and-python/
 ) >= 5.
 
 
 
 
-### (Deprecated) Ukiyoe-few
+## (Deprecated) Ukiyoe-few
+
+[models/ukiyoe-few/v1/ukiyoe_diffusion_256_022000.pt](models/ukiyoe-few/v1/ukiyoe_diffusion_256_022000.pt)
 
 Finetuned on 5224 images from Wikiart (1168) and ? ().