Update README.md

README.md

@@ -9,33 +9,33 @@ An experimental merge of various models I like, using an algorithm that ideally
 
 #### **Models Used**
 * IllustriousXL V2.0 Stable - Used as base merge target
- * 1.0 UNET/1.0 CLIP
+  * 1.0 UNET/1.0 CLIP
 * Rouwei v0.7 eps
- * 1.0 UNET/1.2 CLIP
+  * 1.0 UNET/1.2 CLIP
 * IllumiYume v3.1
- * 1.5 UNET/2.0 CLIP
+  * 1.5 UNET/2.0 CLIP
 * Hassaku v1.3 Style A
- * 1.4 UNET/0.5 CLIP
+  * 1.4 UNET/0.5 CLIP
 * ionsyx v3.0
- * 1.4 UNET/0.8 CLIP
+  * 1.4 UNET/0.8 CLIP
 * Wicked Illustrious Mix v1.1
- * 1.2 UNET/0.5 CLIP
+  * 1.2 UNET/0.5 CLIP
 * mdntIllus Syn v1
- * 1.0 UNET/1.3 CLIP
+  * 1.0 UNET/1.3 CLIP
 * Kokio v2.0
- * 1.2 UNET/0.8 CLIP
+  * 1.2 UNET/0.8 CLIP
 * Diving Illustrious Anime v11
- * 0.5 UNET/0.5 CLIP
+  * 0.5 UNET/0.5 CLIP
 * Bismuth Illustrious Mix v2.0
- * 1.2 UNET/0.8 CLIP
+  * 1.2 UNET/0.8 CLIP
 * NoobAI v1.1 eps
- * 0.7 UNET/1.5 CLIP
+  * 0.7 UNET/1.5 CLIP
 * Unreleased Merge
- * 1.0 UNET/2.0 CLIP
+  * 1.0 UNET/2.0 CLIP
 * Plant Milk Hemp II
- * 1.4 UNET/0.8 CLIP
+  * 1.4 UNET/0.8 CLIP
 * Plant Milk Coconut
- * 1.4 UNET/0.8 CLIP
+  * 1.4 UNET/0.8 CLIP
 
 The above may not make the most sense, but using the algorithm, each model's UNET and CLIP were compared and the best was chosen tensor by tensor, using the above weights as my subjective adjustment to influence how likely they would be chosen. I can't tell you exactly what part of what model is used where, my merge script just chose what it considered the best.