alea31415 commited on
Commit
16289f1
1 Parent(s): 0431f72

Update README.md

Browse files
Files changed (1) hide show
  1. README.md +73 -0
README.md CHANGED
@@ -1,3 +1,76 @@
1
  ---
2
  license: creativeml-openrail-m
 
 
 
 
 
3
  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
  ---
2
  license: creativeml-openrail-m
3
+ pipeline_tag: text-to-image
4
+ tags:
5
+ - 'stable-diffusion '
6
+ - anime
7
+ - aiart
8
  ---
9
+
10
+
11
+ **This model is trained for characters from Oshi no Ko (推しの子)**
12
+ I plan to update it in real time along the season.
13
+
14
+ **The model is trained at clip skip 1 on [ACertainty](https://huggingface.co/JosephusCheung/ACertainty/tree/main)**
15
+ You can however use the extracted locon on a lot of different models as I show in the examples on CivitAI. Otherwise you can perform (block) merge and (block) extraction yourself using the full model.
16
+
17
+ For examples check CivitAI
18
+ https://civitai.com/models/40182
19
+
20
+
21
+ ## Trigger Words
22
+
23
+ For now, we have
24
+
25
+ * HoshinoAi
26
+ * Aquamarine baby
27
+ * Aquamarine child
28
+ * ArimaKana
29
+ * Aquamarine
30
+ * Ruby baby
31
+ * Ruby child
32
+ * Ruby
33
+ * ArimaKana child
34
+ * ArimaKana
35
+ * SaitoIchigo
36
+ * Miyako
37
+ * GotandaTaishi
38
+ * AmemiyaGoro
39
+ * TendojiSarina
40
+
41
+ According to my estimate, the following characters will be added in this season
42
+
43
+ * NarushimaMelt
44
+ * KaburagiMasaya
45
+ * KichijoujiYoriko
46
+ * ShiranuiFrill
47
+ * KotobukiMinami
48
+ * KurokawaAkane
49
+ * MemCho
50
+ * KumanoNobuyuki
51
+ * SumiYuki
52
+ * MorimotoKengo
53
+
54
+
55
+
56
+ ## Dataset composition
57
+
58
+ - fanart 168
59
+ - screenshots
60
+ - EP 01 1268
61
+ - regularization ~20K
62
+
63
+
64
+ ## Version notes
65
+
66
+ **EP01**
67
+
68
+ Up to this point, Aqua, Ruby, Kana, and Akane are only trained with limited fan arts, so the quality of these characters will be largely improved later after more episodes come out.
69
+
70
+ The model is trained for 42647 steps and there are in total 4 checkpoints [here](https://huggingface.co/alea31415/oshinoko/tree/main/checkpoints_0414ep01)
71
+
72
+ The LoCon is extracted from the 32783 step one and I also recommend using this one if you prefer to use the full model.
73
+
74
+ Actually, if you want to put the star in the coorect eye for Aqua and Ruby you would have higher chance to achieve it with 32783 and 42647 step checkpoints. However the last one seems to be quite overfitted. It would be much more difficult with earlier checkpoints and extracted LoCons. For comparison please see the last four example images on CivitAI.
75
+
76
+ On the other hand, for some characters with few training images, TendojiSarina notably, you may want to use early checkpoints or LoCon with lower weight to gain more flexibility.