Hugging Face's logo

juaner0211
/
Font_Design_Silver_Metallic_3D_Bold_Font_FLUX

English
Chinese
font
flux
Model card Files Community
juaner0211 commited on
Commit
1d115d2
•
1 Parent(s): ba8068c

Upload font_train.json

Browse files
Files changed (1) hide show
  1. font_train.json +3640 -0
font_train.json ADDED
@@ -0,0 +1,3640 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "last_node_id": 132,
3
+ "last_link_id": 216,
4
+ "nodes": [
5
+ {
6
+ "id": 8,
7
+ "type": "FluxTrainValidate",
8
+ "pos": [
9
+ 1538.6797892578106,
10
+ 487.55795644042973
11
+ ],
12
+ "size": {
13
+ "0": 468.5999755859375,
14
+ "1": 46
15
+ },
16
+ "flags": {},
17
+ "order": 26,
18
+ "mode": 0,
19
+ "inputs": [
20
+ {
21
+ "name": "network_trainer",
22
+ "type": "NETWORKTRAINER",
23
+ "link": 7,
24
+ "label": "network_trainer"
25
+ },
26
+ {
27
+ "name": "validation_settings",
28
+ "type": "VALSETTINGS",
29
+ "link": 60,
30
+ "label": "validation_settings"
31
+ }
32
+ ],
33
+ "outputs": [
34
+ {
35
+ "name": "network_trainer",
36
+ "type": "NETWORKTRAINER",
37
+ "links": [
38
+ 40
39
+ ],
40
+ "slot_index": 0,
41
+ "shape": 3,
42
+ "label": "network_trainer"
43
+ },
44
+ {
45
+ "name": "validation_images",
46
+ "type": "IMAGE",
47
+ "links": [
48
+ 8,
49
+ 112
50
+ ],
51
+ "slot_index": 1,
52
+ "shape": 3,
53
+ "label": "validation_images"
54
+ }
55
+ ],
56
+ "properties": {
57
+ "Node name for S&R": "FluxTrainValidate"
58
+ }
59
+ },
60
+ {
61
+ "id": 9,
62
+ "type": "PreviewImage",
63
+ "pos": [
64
+ 1529,
65
+ 588
66
+ ],
67
+ "size": {
68
+ "0": 891.4732666015625,
69
+ "1": 476.6578063964844
70
+ },
71
+ "flags": {},
72
+ "order": 29,
73
+ "mode": 0,
74
+ "inputs": [
75
+ {
76
+ "name": "images",
77
+ "type": "IMAGE",
78
+ "link": 8,
79
+ "label": "图像"
80
+ }
81
+ ],
82
+ "properties": {
83
+ "Node name for S&R": "PreviewImage"
84
+ }
85
+ },
86
+ {
87
+ "id": 14,
88
+ "type": "FluxTrainSave",
89
+ "pos": [
90
+ 2040,
91
+ 420
92
+ ],
93
+ "size": {
94
+ "0": 393,
95
+ "1": 122
96
+ },
97
+ "flags": {},
98
+ "order": 28,
99
+ "mode": 0,
100
+ "inputs": [
101
+ {
102
+ "name": "network_trainer",
103
+ "type": "NETWORKTRAINER",
104
+ "link": 40,
105
+ "label": "network_trainer"
106
+ }
107
+ ],
108
+ "outputs": [
109
+ {
110
+ "name": "network_trainer",
111
+ "type": "NETWORKTRAINER",
112
+ "links": [
113
+ 72
114
+ ],
115
+ "slot_index": 0,
116
+ "shape": 3,
117
+ "label": "network_trainer"
118
+ },
119
+ {
120
+ "name": "lora_path",
121
+ "type": "STRING",
122
+ "links": [],
123
+ "slot_index": 1,
124
+ "shape": 3,
125
+ "label": "lora_path"
126
+ },
127
+ {
128
+ "name": "steps",
129
+ "type": "INT",
130
+ "links": [
131
+ 110
132
+ ],
133
+ "slot_index": 2,
134
+ "shape": 3,
135
+ "label": "steps"
136
+ }
137
+ ],
138
+ "properties": {
139
+ "Node name for S&R": "FluxTrainSave"
140
+ },
141
+ "widgets_values": [
142
+ false,
143
+ false
144
+ ]
145
+ },
146
+ {
147
+ "id": 40,
148
+ "type": "GetNode",
149
+ "pos": {
150
+ "0": 1528.677978515625,
151
+ "1": 437.5579528808594,
152
+ "2": 0,
153
+ "3": 0,
154
+ "4": 0,
155
+ "5": 0,
156
+ "6": 0,
157
+ "7": 0,
158
+ "8": 0,
159
+ "9": 0
160
+ },
161
+ "size": {
162
+ "0": 277.0899353027344,
163
+ "1": 58
164
+ },
165
+ "flags": {
166
+ "collapsed": true
167
+ },
168
+ "order": 0,
169
+ "mode": 0,
170
+ "inputs": [],
171
+ "outputs": [
172
+ {
173
+ "name": "VALSETTINGS",
174
+ "type": "VALSETTINGS",
175
+ "links": [
176
+ 60
177
+ ],
178
+ "slot_index": 0
179
+ }
180
+ ],
181
+ "properties": {},
182
+ "widgets_values": [
183
+ "validation_settings"
184
+ ]
185
+ },
186
+ {
187
+ "id": 45,
188
+ "type": "FluxTrainValidate",
189
+ "pos": [
190
+ 2640,
191
+ 500
192
+ ],
193
+ "size": {
194
+ "0": 468.5999755859375,
195
+ "1": 46
196
+ },
197
+ "flags": {},
198
+ "order": 33,
199
+ "mode": 0,
200
+ "inputs": [
201
+ {
202
+ "name": "network_trainer",
203
+ "type": "NETWORKTRAINER",
204
+ "link": 137,
205
+ "label": "network_trainer"
206
+ },
207
+ {
208
+ "name": "validation_settings",
209
+ "type": "VALSETTINGS",
210
+ "link": 69,
211
+ "label": "validation_settings"
212
+ }
213
+ ],
214
+ "outputs": [
215
+ {
216
+ "name": "network_trainer",
217
+ "type": "NETWORKTRAINER",
218
+ "links": [
219
+ 71
220
+ ],
221
+ "slot_index": 0,
222
+ "shape": 3,
223
+ "label": "network_trainer"
224
+ },
225
+ {
226
+ "name": "validation_images",
227
+ "type": "IMAGE",
228
+ "links": [
229
+ 70,
230
+ 119
231
+ ],
232
+ "slot_index": 1,
233
+ "shape": 3,
234
+ "label": "validation_images"
235
+ }
236
+ ],
237
+ "properties": {
238
+ "Node name for S&R": "FluxTrainValidate"
239
+ }
240
+ },
241
+ {
242
+ "id": 46,
243
+ "type": "PreviewImage",
244
+ "pos": [
245
+ 2654,
246
+ 609
247
+ ],
248
+ "size": {
249
+ "0": 850.0181274414062,
250
+ "1": 452.6767578125
251
+ },
252
+ "flags": {},
253
+ "order": 37,
254
+ "mode": 0,
255
+ "inputs": [
256
+ {
257
+ "name": "images",
258
+ "type": "IMAGE",
259
+ "link": 70,
260
+ "label": "图像"
261
+ }
262
+ ],
263
+ "properties": {
264
+ "Node name for S&R": "PreviewImage"
265
+ }
266
+ },
267
+ {
268
+ "id": 47,
269
+ "type": "FluxTrainSave",
270
+ "pos": [
271
+ 3160,
272
+ 420
273
+ ],
274
+ "size": {
275
+ "0": 393,
276
+ "1": 122
277
+ },
278
+ "flags": {},
279
+ "order": 36,
280
+ "mode": 0,
281
+ "inputs": [
282
+ {
283
+ "name": "network_trainer",
284
+ "type": "NETWORKTRAINER",
285
+ "link": 71,
286
+ "label": "network_trainer"
287
+ }
288
+ ],
289
+ "outputs": [
290
+ {
291
+ "name": "network_trainer",
292
+ "type": "NETWORKTRAINER",
293
+ "links": [
294
+ 97
295
+ ],
296
+ "slot_index": 0,
297
+ "shape": 3,
298
+ "label": "network_trainer"
299
+ },
300
+ {
301
+ "name": "lora_path",
302
+ "type": "STRING",
303
+ "links": null,
304
+ "shape": 3,
305
+ "label": "lora_path"
306
+ },
307
+ {
308
+ "name": "steps",
309
+ "type": "INT",
310
+ "links": [
311
+ 116
312
+ ],
313
+ "slot_index": 2,
314
+ "shape": 3,
315
+ "label": "steps"
316
+ }
317
+ ],
318
+ "properties": {
319
+ "Node name for S&R": "FluxTrainSave"
320
+ },
321
+ "widgets_values": [
322
+ false,
323
+ false
324
+ ]
325
+ },
326
+ {
327
+ "id": 48,
328
+ "type": "GetNode",
329
+ "pos": {
330
+ "0": 2630,
331
+ "1": 450,
332
+ "2": 0,
333
+ "3": 0,
334
+ "4": 0,
335
+ "5": 0,
336
+ "6": 0,
337
+ "7": 0,
338
+ "8": 0,
339
+ "9": 0
340
+ },
341
+ "size": {
342
+ "0": 210,
343
+ "1": 58
344
+ },
345
+ "flags": {
346
+ "collapsed": true
347
+ },
348
+ "order": 1,
349
+ "mode": 0,
350
+ "inputs": [],
351
+ "outputs": [
352
+ {
353
+ "name": "VALSETTINGS",
354
+ "type": "VALSETTINGS",
355
+ "links": [
356
+ 69
357
+ ],
358
+ "slot_index": 0
359
+ }
360
+ ],
361
+ "properties": {},
362
+ "widgets_values": [
363
+ "validation_settings"
364
+ ]
365
+ },
366
+ {
367
+ "id": 60,
368
+ "type": "FluxTrainValidate",
369
+ "pos": [
370
+ 3716.7086387499994,
371
+ 510
372
+ ],
373
+ "size": {
374
+ "0": 468.5999755859375,
375
+ "1": 46
376
+ },
377
+ "flags": {},
378
+ "order": 42,
379
+ "mode": 0,
380
+ "inputs": [
381
+ {
382
+ "name": "network_trainer",
383
+ "type": "NETWORKTRAINER",
384
+ "link": 88,
385
+ "label": "network_trainer"
386
+ },
387
+ {
388
+ "name": "validation_settings",
389
+ "type": "VALSETTINGS",
390
+ "link": 89,
391
+ "label": "validation_settings"
392
+ }
393
+ ],
394
+ "outputs": [
395
+ {
396
+ "name": "network_trainer",
397
+ "type": "NETWORKTRAINER",
398
+ "links": [
399
+ 91
400
+ ],
401
+ "slot_index": 0,
402
+ "shape": 3,
403
+ "label": "network_trainer"
404
+ },
405
+ {
406
+ "name": "validation_images",
407
+ "type": "IMAGE",
408
+ "links": [
409
+ 90,
410
+ 122
411
+ ],
412
+ "slot_index": 1,
413
+ "shape": 3,
414
+ "label": "validation_images"
415
+ }
416
+ ],
417
+ "properties": {
418
+ "Node name for S&R": "FluxTrainValidate"
419
+ }
420
+ },
421
+ {
422
+ "id": 61,
423
+ "type": "PreviewImage",
424
+ "pos": [
425
+ 3707,
426
+ 610
427
+ ],
428
+ "size": {
429
+ "0": 809.35400390625,
430
+ "1": 458.6750793457031
431
+ },
432
+ "flags": {},
433
+ "order": 46,
434
+ "mode": 0,
435
+ "inputs": [
436
+ {
437
+ "name": "images",
438
+ "type": "IMAGE",
439
+ "link": 90,
440
+ "label": "图像"
441
+ }
442
+ ],
443
+ "properties": {
444
+ "Node name for S&R": "PreviewImage"
445
+ }
446
+ },
447
+ {
448
+ "id": 62,
449
+ "type": "FluxTrainSave",
450
+ "pos": [
451
+ 4230,
452
+ 420
453
+ ],
454
+ "size": {
455
+ "0": 393,
456
+ "1": 122
457
+ },
458
+ "flags": {},
459
+ "order": 45,
460
+ "mode": 0,
461
+ "inputs": [
462
+ {
463
+ "name": "network_trainer",
464
+ "type": "NETWORKTRAINER",
465
+ "link": 91,
466
+ "label": "network_trainer"
467
+ }
468
+ ],
469
+ "outputs": [
470
+ {
471
+ "name": "network_trainer",
472
+ "type": "NETWORKTRAINER",
473
+ "links": [
474
+ 92
475
+ ],
476
+ "slot_index": 0,
477
+ "shape": 3,
478
+ "label": "network_trainer"
479
+ },
480
+ {
481
+ "name": "lora_path",
482
+ "type": "STRING",
483
+ "links": null,
484
+ "shape": 3,
485
+ "label": "lora_path"
486
+ },
487
+ {
488
+ "name": "steps",
489
+ "type": "INT",
490
+ "links": [
491
+ 120
492
+ ],
493
+ "slot_index": 2,
494
+ "shape": 3,
495
+ "label": "steps"
496
+ }
497
+ ],
498
+ "properties": {
499
+ "Node name for S&R": "FluxTrainSave"
500
+ },
501
+ "widgets_values": [
502
+ false,
503
+ false
504
+ ]
505
+ },
506
+ {
507
+ "id": 63,
508
+ "type": "GetNode",
509
+ "pos": {
510
+ "0": 3706.7109375,
511
+ "1": 460,
512
+ "2": 0,
513
+ "3": 0,
514
+ "4": 0,
515
+ "5": 0,
516
+ "6": 0,
517
+ "7": 0,
518
+ "8": 0,
519
+ "9": 0
520
+ },
521
+ "size": {
522
+ "0": 210,
523
+ "1": 58
524
+ },
525
+ "flags": {
526
+ "collapsed": true
527
+ },
528
+ "order": 2,
529
+ "mode": 0,
530
+ "inputs": [],
531
+ "outputs": [
532
+ {
533
+ "name": "VALSETTINGS",
534
+ "type": "VALSETTINGS",
535
+ "links": [
536
+ 89
537
+ ],
538
+ "slot_index": 0
539
+ }
540
+ ],
541
+ "properties": {},
542
+ "widgets_values": [
543
+ "validation_settings"
544
+ ]
545
+ },
546
+ {
547
+ "id": 65,
548
+ "type": "FluxTrainValidate",
549
+ "pos": [
550
+ 4775.216642000014,
551
+ 518.4568783310547
552
+ ],
553
+ "size": {
554
+ "0": 468.5999755859375,
555
+ "1": 46
556
+ },
557
+ "flags": {},
558
+ "order": 51,
559
+ "mode": 0,
560
+ "inputs": [
561
+ {
562
+ "name": "network_trainer",
563
+ "type": "NETWORKTRAINER",
564
+ "link": 93,
565
+ "label": "network_trainer"
566
+ },
567
+ {
568
+ "name": "validation_settings",
569
+ "type": "VALSETTINGS",
570
+ "link": 94,
571
+ "label": "validation_settings"
572
+ }
573
+ ],
574
+ "outputs": [
575
+ {
576
+ "name": "network_trainer",
577
+ "type": "NETWORKTRAINER",
578
+ "links": [
579
+ 96
580
+ ],
581
+ "slot_index": 0,
582
+ "shape": 3,
583
+ "label": "network_trainer"
584
+ },
585
+ {
586
+ "name": "validation_images",
587
+ "type": "IMAGE",
588
+ "links": [
589
+ 95,
590
+ 126
591
+ ],
592
+ "slot_index": 1,
593
+ "shape": 3,
594
+ "label": "validation_images"
595
+ }
596
+ ],
597
+ "properties": {
598
+ "Node name for S&R": "FluxTrainValidate"
599
+ }
600
+ },
601
+ {
602
+ "id": 66,
603
+ "type": "PreviewImage",
604
+ "pos": [
605
+ 4785,
606
+ 628
607
+ ],
608
+ "size": {
609
+ "0": 850.0181274414062,
610
+ "1": 452.6767578125
611
+ },
612
+ "flags": {},
613
+ "order": 54,
614
+ "mode": 0,
615
+ "inputs": [
616
+ {
617
+ "name": "images",
618
+ "type": "IMAGE",
619
+ "link": 95,
620
+ "label": "图像"
621
+ }
622
+ ],
623
+ "properties": {
624
+ "Node name for S&R": "PreviewImage"
625
+ }
626
+ },
627
+ {
628
+ "id": 67,
629
+ "type": "FluxTrainSave",
630
+ "pos": [
631
+ 5280,
632
+ 420
633
+ ],
634
+ "size": {
635
+ "0": 393,
636
+ "1": 122
637
+ },
638
+ "flags": {},
639
+ "order": 53,
640
+ "mode": 0,
641
+ "inputs": [
642
+ {
643
+ "name": "network_trainer",
644
+ "type": "NETWORKTRAINER",
645
+ "link": 96,
646
+ "label": "network_trainer"
647
+ }
648
+ ],
649
+ "outputs": [
650
+ {
651
+ "name": "network_trainer",
652
+ "type": "NETWORKTRAINER",
653
+ "links": [
654
+ 98,
655
+ 99
656
+ ],
657
+ "slot_index": 0,
658
+ "shape": 3,
659
+ "label": "network_trainer"
660
+ },
661
+ {
662
+ "name": "lora_path",
663
+ "type": "STRING",
664
+ "links": [],
665
+ "slot_index": 1,
666
+ "shape": 3,
667
+ "label": "lora_path"
668
+ },
669
+ {
670
+ "name": "steps",
671
+ "type": "INT",
672
+ "links": [
673
+ 125
674
+ ],
675
+ "shape": 3,
676
+ "label": "steps"
677
+ }
678
+ ],
679
+ "properties": {
680
+ "Node name for S&R": "FluxTrainSave"
681
+ },
682
+ "widgets_values": [
683
+ false,
684
+ false
685
+ ]
686
+ },
687
+ {
688
+ "id": 68,
689
+ "type": "GetNode",
690
+ "pos": {
691
+ "0": 4765.21875,
692
+ "1": 468.45684814453125,
693
+ "2": 0,
694
+ "3": 0,
695
+ "4": 0,
696
+ "5": 0,
697
+ "6": 0,
698
+ "7": 0,
699
+ "8": 0,
700
+ "9": 0
701
+ },
702
+ "size": {
703
+ "0": 210,
704
+ "1": 58
705
+ },
706
+ "flags": {
707
+ "collapsed": true
708
+ },
709
+ "order": 3,
710
+ "mode": 0,
711
+ "inputs": [],
712
+ "outputs": [
713
+ {
714
+ "name": "VALSETTINGS",
715
+ "type": "VALSETTINGS",
716
+ "links": [
717
+ 94
718
+ ],
719
+ "slot_index": 0
720
+ }
721
+ ],
722
+ "properties": {},
723
+ "widgets_values": [
724
+ "validation_settings"
725
+ ]
726
+ },
727
+ {
728
+ "id": 69,
729
+ "type": "FluxTrainEnd",
730
+ "pos": [
731
+ 5890,
732
+ 500
733
+ ],
734
+ "size": {
735
+ "0": 317.4000244140625,
736
+ "1": 78
737
+ },
738
+ "flags": {},
739
+ "order": 56,
740
+ "mode": 0,
741
+ "inputs": [
742
+ {
743
+ "name": "network_trainer",
744
+ "type": "NETWORKTRAINER",
745
+ "link": 98,
746
+ "label": "network_trainer"
747
+ }
748
+ ],
749
+ "outputs": [
750
+ {
751
+ "name": "lora_path",
752
+ "type": "STRING",
753
+ "links": [
754
+ 103,
755
+ 135,
756
+ 213
757
+ ],
758
+ "slot_index": 0,
759
+ "shape": 3,
760
+ "label": "lora_path"
761
+ },
762
+ {
763
+ "name": "metadata",
764
+ "type": "STRING",
765
+ "links": null,
766
+ "shape": 3,
767
+ "label": "metadata"
768
+ }
769
+ ],
770
+ "properties": {
771
+ "Node name for S&R": "FluxTrainEnd"
772
+ },
773
+ "widgets_values": [
774
+ false
775
+ ],
776
+ "color": "#322",
777
+ "bgcolor": "#533"
778
+ },
779
+ {
780
+ "id": 70,
781
+ "type": "VisualizeLoss",
782
+ "pos": [
783
+ 5586,
784
+ -246
785
+ ],
786
+ "size": {
787
+ "0": 254.40000915527344,
788
+ "1": 174
789
+ },
790
+ "flags": {},
791
+ "order": 57,
792
+ "mode": 0,
793
+ "inputs": [
794
+ {
795
+ "name": "network_trainer",
796
+ "type": "NETWORKTRAINER",
797
+ "link": 99,
798
+ "label": "network_trainer"
799
+ }
800
+ ],
801
+ "outputs": [
802
+ {
803
+ "name": "plot",
804
+ "type": "IMAGE",
805
+ "links": [
806
+ 138
807
+ ],
808
+ "slot_index": 0,
809
+ "shape": 3,
810
+ "label": "plot"
811
+ },
812
+ {
813
+ "name": "loss_list",
814
+ "type": "FLOAT",
815
+ "links": null,
816
+ "shape": 3,
817
+ "label": "loss_list"
818
+ }
819
+ ],
820
+ "properties": {
821
+ "Node name for S&R": "VisualizeLoss"
822
+ },
823
+ "widgets_values": [
824
+ "ggplot",
825
+ 1000,
826
+ true,
827
+ 768,
828
+ 512
829
+ ]
830
+ },
831
+ {
832
+ "id": 73,
833
+ "type": "Display Any (rgthree)",
834
+ "pos": [
835
+ 6270,
836
+ 660
837
+ ],
838
+ "size": {
839
+ "0": 210,
840
+ "1": 76
841
+ },
842
+ "flags": {},
843
+ "order": 64,
844
+ "mode": 2,
845
+ "inputs": [
846
+ {
847
+ "name": "source",
848
+ "type": "*",
849
+ "link": 136,
850
+ "dir": 3,
851
+ "label": "输入"
852
+ }
853
+ ],
854
+ "properties": {
855
+ "Node name for S&R": "Display Any (rgthree)"
856
+ },
857
+ "widgets_values": [
858
+ ""
859
+ ]
860
+ },
861
+ {
862
+ "id": 74,
863
+ "type": "Display Any (rgthree)",
864
+ "pos": [
865
+ 6275,
866
+ 492
867
+ ],
868
+ "size": {
869
+ "0": 358.62896728515625,
870
+ "1": 76
871
+ },
872
+ "flags": {},
873
+ "order": 59,
874
+ "mode": 0,
875
+ "inputs": [
876
+ {
877
+ "name": "source",
878
+ "type": "*",
879
+ "link": 103,
880
+ "dir": 3,
881
+ "label": "输入"
882
+ }
883
+ ],
884
+ "properties": {
885
+ "Node name for S&R": "Display Any (rgthree)"
886
+ },
887
+ "widgets_values": [
888
+ ""
889
+ ]
890
+ },
891
+ {
892
+ "id": 78,
893
+ "type": "AddLabel",
894
+ "pos": [
895
+ 2023,
896
+ 1177
897
+ ],
898
+ "size": {
899
+ "0": 315,
900
+ "1": 274
901
+ },
902
+ "flags": {
903
+ "collapsed": true
904
+ },
905
+ "order": 35,
906
+ "mode": 0,
907
+ "inputs": [
908
+ {
909
+ "name": "image",
910
+ "type": "IMAGE",
911
+ "link": 112,
912
+ "label": "图像"
913
+ },
914
+ {
915
+ "name": "caption",
916
+ "type": "STRING",
917
+ "link": null,
918
+ "widget": {
919
+ "name": "caption"
920
+ }
921
+ },
922
+ {
923
+ "name": "text",
924
+ "type": "STRING",
925
+ "link": 111,
926
+ "widget": {
927
+ "name": "text"
928
+ },
929
+ "label": "文本"
930
+ }
931
+ ],
932
+ "outputs": [
933
+ {
934
+ "name": "IMAGE",
935
+ "type": "IMAGE",
936
+ "links": [
937
+ 200
938
+ ],
939
+ "slot_index": 0,
940
+ "shape": 3,
941
+ "label": "图像"
942
+ }
943
+ ],
944
+ "properties": {
945
+ "Node name for S&R": "AddLabel"
946
+ },
947
+ "widgets_values": [
948
+ 10,
949
+ 2,
950
+ 48,
951
+ 32,
952
+ "white",
953
+ "black",
954
+ "FreeMono.ttf",
955
+ "Text",
956
+ "up",
957
+ ""
958
+ ]
959
+ },
960
+ {
961
+ "id": 79,
962
+ "type": "SomethingToString",
963
+ "pos": [
964
+ 1815,
965
+ 1177
966
+ ],
967
+ "size": {
968
+ "0": 315,
969
+ "1": 82
970
+ },
971
+ "flags": {
972
+ "collapsed": true
973
+ },
974
+ "order": 32,
975
+ "mode": 0,
976
+ "inputs": [
977
+ {
978
+ "name": "input",
979
+ "type": "*",
980
+ "link": 110,
981
+ "label": "输入"
982
+ }
983
+ ],
984
+ "outputs": [
985
+ {
986
+ "name": "STRING",
987
+ "type": "STRING",
988
+ "links": [
989
+ 111
990
+ ],
991
+ "slot_index": 0,
992
+ "shape": 3,
993
+ "label": "字符串"
994
+ }
995
+ ],
996
+ "properties": {
997
+ "Node name for S&R": "SomethingToString"
998
+ },
999
+ "widgets_values": [
1000
+ "steps ",
1001
+ ""
1002
+ ]
1003
+ },
1004
+ {
1005
+ "id": 80,
1006
+ "type": "AddLabel",
1007
+ "pos": [
1008
+ 2982,
1009
+ 1177
1010
+ ],
1011
+ "size": {
1012
+ "0": 315,
1013
+ "1": 274
1014
+ },
1015
+ "flags": {
1016
+ "collapsed": true
1017
+ },
1018
+ "order": 44,
1019
+ "mode": 0,
1020
+ "inputs": [
1021
+ {
1022
+ "name": "image",
1023
+ "type": "IMAGE",
1024
+ "link": 119,
1025
+ "label": "图像"
1026
+ },
1027
+ {
1028
+ "name": "caption",
1029
+ "type": "STRING",
1030
+ "link": null,
1031
+ "widget": {
1032
+ "name": "caption"
1033
+ }
1034
+ },
1035
+ {
1036
+ "name": "text",
1037
+ "type": "STRING",
1038
+ "link": 117,
1039
+ "widget": {
1040
+ "name": "text"
1041
+ },
1042
+ "label": "文本"
1043
+ }
1044
+ ],
1045
+ "outputs": [
1046
+ {
1047
+ "name": "IMAGE",
1048
+ "type": "IMAGE",
1049
+ "links": [
1050
+ 201
1051
+ ],
1052
+ "slot_index": 0,
1053
+ "shape": 3,
1054
+ "label": "图像"
1055
+ }
1056
+ ],
1057
+ "properties": {
1058
+ "Node name for S&R": "AddLabel"
1059
+ },
1060
+ "widgets_values": [
1061
+ 10,
1062
+ 2,
1063
+ 48,
1064
+ 32,
1065
+ "white",
1066
+ "black",
1067
+ "FreeMono.ttf",
1068
+ "Text",
1069
+ "up",
1070
+ ""
1071
+ ]
1072
+ },
1073
+ {
1074
+ "id": 81,
1075
+ "type": "SomethingToString",
1076
+ "pos": [
1077
+ 2774,
1078
+ 1177
1079
+ ],
1080
+ "size": {
1081
+ "0": 315,
1082
+ "1": 82
1083
+ },
1084
+ "flags": {
1085
+ "collapsed": true
1086
+ },
1087
+ "order": 41,
1088
+ "mode": 0,
1089
+ "inputs": [
1090
+ {
1091
+ "name": "input",
1092
+ "type": "*",
1093
+ "link": 116,
1094
+ "label": "输入"
1095
+ }
1096
+ ],
1097
+ "outputs": [
1098
+ {
1099
+ "name": "STRING",
1100
+ "type": "STRING",
1101
+ "links": [
1102
+ 117
1103
+ ],
1104
+ "slot_index": 0,
1105
+ "shape": 3,
1106
+ "label": "字符串"
1107
+ }
1108
+ ],
1109
+ "properties": {
1110
+ "Node name for S&R": "SomethingToString"
1111
+ },
1112
+ "widgets_values": [
1113
+ "steps ",
1114
+ ""
1115
+ ]
1116
+ },
1117
+ {
1118
+ "id": 82,
1119
+ "type": "SomethingToString",
1120
+ "pos": [
1121
+ 3909,
1122
+ 1177
1123
+ ],
1124
+ "size": {
1125
+ "0": 315,
1126
+ "1": 82
1127
+ },
1128
+ "flags": {
1129
+ "collapsed": true
1130
+ },
1131
+ "order": 50,
1132
+ "mode": 0,
1133
+ "inputs": [
1134
+ {
1135
+ "name": "input",
1136
+ "type": "*",
1137
+ "link": 120,
1138
+ "label": "输入"
1139
+ }
1140
+ ],
1141
+ "outputs": [
1142
+ {
1143
+ "name": "STRING",
1144
+ "type": "STRING",
1145
+ "links": [
1146
+ 121
1147
+ ],
1148
+ "slot_index": 0,
1149
+ "shape": 3,
1150
+ "label": "字符串"
1151
+ }
1152
+ ],
1153
+ "properties": {
1154
+ "Node name for S&R": "SomethingToString"
1155
+ },
1156
+ "widgets_values": [
1157
+ "steps ",
1158
+ ""
1159
+ ]
1160
+ },
1161
+ {
1162
+ "id": 83,
1163
+ "type": "AddLabel",
1164
+ "pos": [
1165
+ 4130,
1166
+ 1177
1167
+ ],
1168
+ "size": {
1169
+ "0": 315,
1170
+ "1": 274
1171
+ },
1172
+ "flags": {
1173
+ "collapsed": true
1174
+ },
1175
+ "order": 52,
1176
+ "mode": 0,
1177
+ "inputs": [
1178
+ {
1179
+ "name": "image",
1180
+ "type": "IMAGE",
1181
+ "link": 122,
1182
+ "label": "图像"
1183
+ },
1184
+ {
1185
+ "name": "caption",
1186
+ "type": "STRING",
1187
+ "link": null,
1188
+ "widget": {
1189
+ "name": "caption"
1190
+ }
1191
+ },
1192
+ {
1193
+ "name": "text",
1194
+ "type": "STRING",
1195
+ "link": 121,
1196
+ "widget": {
1197
+ "name": "text"
1198
+ },
1199
+ "label": "文本"
1200
+ }
1201
+ ],
1202
+ "outputs": [
1203
+ {
1204
+ "name": "IMAGE",
1205
+ "type": "IMAGE",
1206
+ "links": [
1207
+ 204
1208
+ ],
1209
+ "slot_index": 0,
1210
+ "shape": 3,
1211
+ "label": "图像"
1212
+ }
1213
+ ],
1214
+ "properties": {
1215
+ "Node name for S&R": "AddLabel"
1216
+ },
1217
+ "widgets_values": [
1218
+ 10,
1219
+ 2,
1220
+ 48,
1221
+ 32,
1222
+ "white",
1223
+ "black",
1224
+ "FreeMono.ttf",
1225
+ "Text",
1226
+ "up",
1227
+ ""
1228
+ ]
1229
+ },
1230
+ {
1231
+ "id": 84,
1232
+ "type": "SomethingToString",
1233
+ "pos": [
1234
+ 4963,
1235
+ 1177
1236
+ ],
1237
+ "size": {
1238
+ "0": 315,
1239
+ "1": 82
1240
+ },
1241
+ "flags": {
1242
+ "collapsed": true
1243
+ },
1244
+ "order": 58,
1245
+ "mode": 0,
1246
+ "inputs": [
1247
+ {
1248
+ "name": "input",
1249
+ "type": "*",
1250
+ "link": 125,
1251
+ "label": "输入"
1252
+ }
1253
+ ],
1254
+ "outputs": [
1255
+ {
1256
+ "name": "STRING",
1257
+ "type": "STRING",
1258
+ "links": [
1259
+ 124
1260
+ ],
1261
+ "slot_index": 0,
1262
+ "shape": 3,
1263
+ "label": "字符串"
1264
+ }
1265
+ ],
1266
+ "properties": {
1267
+ "Node name for S&R": "SomethingToString"
1268
+ },
1269
+ "widgets_values": [
1270
+ "steps ",
1271
+ ""
1272
+ ]
1273
+ },
1274
+ {
1275
+ "id": 85,
1276
+ "type": "AddLabel",
1277
+ "pos": [
1278
+ 5171,
1279
+ 1177
1280
+ ],
1281
+ "size": {
1282
+ "0": 315,
1283
+ "1": 274
1284
+ },
1285
+ "flags": {
1286
+ "collapsed": true
1287
+ },
1288
+ "order": 63,
1289
+ "mode": 0,
1290
+ "inputs": [
1291
+ {
1292
+ "name": "image",
1293
+ "type": "IMAGE",
1294
+ "link": 126,
1295
+ "label": "图像"
1296
+ },
1297
+ {
1298
+ "name": "caption",
1299
+ "type": "STRING",
1300
+ "link": null,
1301
+ "widget": {
1302
+ "name": "caption"
1303
+ }
1304
+ },
1305
+ {
1306
+ "name": "text",
1307
+ "type": "STRING",
1308
+ "link": 124,
1309
+ "widget": {
1310
+ "name": "text"
1311
+ },
1312
+ "label": "文本"
1313
+ }
1314
+ ],
1315
+ "outputs": [
1316
+ {
1317
+ "name": "IMAGE",
1318
+ "type": "IMAGE",
1319
+ "links": [
1320
+ 207
1321
+ ],
1322
+ "slot_index": 0,
1323
+ "shape": 3,
1324
+ "label": "图像"
1325
+ }
1326
+ ],
1327
+ "properties": {
1328
+ "Node name for S&R": "AddLabel"
1329
+ },
1330
+ "widgets_values": [
1331
+ 10,
1332
+ 2,
1333
+ 48,
1334
+ 32,
1335
+ "white",
1336
+ "black",
1337
+ "FreeMono.ttf",
1338
+ "Text",
1339
+ "up",
1340
+ ""
1341
+ ]
1342
+ },
1343
+ {
1344
+ "id": 89,
1345
+ "type": "UploadToHuggingFace",
1346
+ "pos": [
1347
+ 5900,
1348
+ 660
1349
+ ],
1350
+ "size": {
1351
+ "0": 315,
1352
+ "1": 178
1353
+ },
1354
+ "flags": {},
1355
+ "order": 60,
1356
+ "mode": 2,
1357
+ "inputs": [
1358
+ {
1359
+ "name": "network_trainer",
1360
+ "type": "NETWORKTRAINER",
1361
+ "link": null,
1362
+ "label": "network_trainer"
1363
+ },
1364
+ {
1365
+ "name": "source_path",
1366
+ "type": "STRING",
1367
+ "link": 135,
1368
+ "widget": {
1369
+ "name": "source_path"
1370
+ },
1371
+ "label": "source_path"
1372
+ }
1373
+ ],
1374
+ "outputs": [
1375
+ {
1376
+ "name": "network_trainer",
1377
+ "type": "NETWORKTRAINER",
1378
+ "links": null,
1379
+ "shape": 3,
1380
+ "label": "network_trainer"
1381
+ },
1382
+ {
1383
+ "name": "status",
1384
+ "type": "STRING",
1385
+ "links": [
1386
+ 136
1387
+ ],
1388
+ "shape": 3,
1389
+ "label": "status"
1390
+ }
1391
+ ],
1392
+ "properties": {
1393
+ "Node name for S&R": "UploadToHuggingFace"
1394
+ },
1395
+ "widgets_values": [
1396
+ "",
1397
+ "",
1398
+ "",
1399
+ true,
1400
+ ""
1401
+ ]
1402
+ },
1403
+ {
1404
+ "id": 90,
1405
+ "type": "SaveImage",
1406
+ "pos": [
1407
+ 5877,
1408
+ -60
1409
+ ],
1410
+ "size": {
1411
+ "0": 574.23046875,
1412
+ "1": 414.46881103515625
1413
+ },
1414
+ "flags": {},
1415
+ "order": 62,
1416
+ "mode": 0,
1417
+ "inputs": [
1418
+ {
1419
+ "name": "images",
1420
+ "type": "IMAGE",
1421
+ "link": 138,
1422
+ "label": "图像"
1423
+ }
1424
+ ],
1425
+ "properties": {},
1426
+ "widgets_values": [
1427
+ "flux_lora_loss_plot"
1428
+ ]
1429
+ },
1430
+ {
1431
+ "id": 97,
1432
+ "type": "VisualizeLoss",
1433
+ "pos": [
1434
+ 1679,
1435
+ -592
1436
+ ],
1437
+ "size": {
1438
+ "0": 303.6300048828125,
1439
+ "1": 193.0684051513672
1440
+ },
1441
+ "flags": {},
1442
+ "order": 27,
1443
+ "mode": 0,
1444
+ "inputs": [
1445
+ {
1446
+ "name": "network_trainer",
1447
+ "type": "NETWORKTRAINER",
1448
+ "link": 162,
1449
+ "label": "network_trainer"
1450
+ }
1451
+ ],
1452
+ "outputs": [
1453
+ {
1454
+ "name": "plot",
1455
+ "type": "IMAGE",
1456
+ "links": [
1457
+ 161
1458
+ ],
1459
+ "slot_index": 0,
1460
+ "shape": 3,
1461
+ "label": "plot"
1462
+ },
1463
+ {
1464
+ "name": "loss_list",
1465
+ "type": "FLOAT",
1466
+ "links": null,
1467
+ "shape": 3,
1468
+ "label": "loss_list"
1469
+ }
1470
+ ],
1471
+ "properties": {
1472
+ "Node name for S&R": "VisualizeLoss"
1473
+ },
1474
+ "widgets_values": [
1475
+ "seaborn-v0_8-dark-palette",
1476
+ 100,
1477
+ true,
1478
+ 768,
1479
+ 512
1480
+ ]
1481
+ },
1482
+ {
1483
+ "id": 98,
1484
+ "type": "SaveImage",
1485
+ "pos": [
1486
+ 1670,
1487
+ -340
1488
+ ],
1489
+ "size": {
1490
+ "0": 645.9608764648438,
1491
+ "1": 439.37261962890625
1492
+ },
1493
+ "flags": {},
1494
+ "order": 30,
1495
+ "mode": 0,
1496
+ "inputs": [
1497
+ {
1498
+ "name": "images",
1499
+ "type": "IMAGE",
1500
+ "link": 161,
1501
+ "label": "图像"
1502
+ }
1503
+ ],
1504
+ "properties": {},
1505
+ "widgets_values": [
1506
+ "flux_lora_loss_plot"
1507
+ ]
1508
+ },
1509
+ {
1510
+ "id": 99,
1511
+ "type": "VisualizeLoss",
1512
+ "pos": [
1513
+ 2962,
1514
+ -550
1515
+ ],
1516
+ "size": {
1517
+ "0": 254.40000915527344,
1518
+ "1": 174
1519
+ },
1520
+ "flags": {},
1521
+ "order": 34,
1522
+ "mode": 0,
1523
+ "inputs": [
1524
+ {
1525
+ "name": "network_trainer",
1526
+ "type": "NETWORKTRAINER",
1527
+ "link": 164,
1528
+ "label": "network_trainer"
1529
+ }
1530
+ ],
1531
+ "outputs": [
1532
+ {
1533
+ "name": "plot",
1534
+ "type": "IMAGE",
1535
+ "links": [
1536
+ 163
1537
+ ],
1538
+ "slot_index": 0,
1539
+ "shape": 3,
1540
+ "label": "plot"
1541
+ },
1542
+ {
1543
+ "name": "loss_list",
1544
+ "type": "FLOAT",
1545
+ "links": null,
1546
+ "shape": 3,
1547
+ "label": "loss_list"
1548
+ }
1549
+ ],
1550
+ "properties": {
1551
+ "Node name for S&R": "VisualizeLoss"
1552
+ },
1553
+ "widgets_values": [
1554
+ "seaborn-v0_8-dark-palette",
1555
+ 100,
1556
+ true,
1557
+ 768,
1558
+ 512
1559
+ ]
1560
+ },
1561
+ {
1562
+ "id": 100,
1563
+ "type": "SaveImage",
1564
+ "pos": [
1565
+ 2980,
1566
+ -320
1567
+ ],
1568
+ "size": {
1569
+ "0": 574.23046875,
1570
+ "1": 414.46881103515625
1571
+ },
1572
+ "flags": {},
1573
+ "order": 38,
1574
+ "mode": 0,
1575
+ "inputs": [
1576
+ {
1577
+ "name": "images",
1578
+ "type": "IMAGE",
1579
+ "link": 163,
1580
+ "label": "图像"
1581
+ }
1582
+ ],
1583
+ "properties": {},
1584
+ "widgets_values": [
1585
+ "flux_lora_loss_plot"
1586
+ ]
1587
+ },
1588
+ {
1589
+ "id": 119,
1590
+ "type": "ImageBatchMulti",
1591
+ "pos": [
1592
+ 6820,
1593
+ 180
1594
+ ],
1595
+ "size": {
1596
+ "0": 210,
1597
+ "1": 142
1598
+ },
1599
+ "flags": {},
1600
+ "order": 18,
1601
+ "mode": 0,
1602
+ "inputs": [
1603
+ {
1604
+ "name": "image_1",
1605
+ "type": "IMAGE",
1606
+ "link": 202,
1607
+ "label": "图像_1"
1608
+ },
1609
+ {
1610
+ "name": "image_2",
1611
+ "type": "IMAGE",
1612
+ "link": 203,
1613
+ "label": "图像_2"
1614
+ },
1615
+ {
1616
+ "name": "image_3",
1617
+ "type": "IMAGE",
1618
+ "link": 206,
1619
+ "label": "图像_3"
1620
+ },
1621
+ {
1622
+ "name": "image_4",
1623
+ "type": "IMAGE",
1624
+ "link": 208,
1625
+ "label": "图像_4"
1626
+ }
1627
+ ],
1628
+ "outputs": [
1629
+ {
1630
+ "name": "images",
1631
+ "type": "IMAGE",
1632
+ "links": [
1633
+ 195
1634
+ ],
1635
+ "shape": 3,
1636
+ "slot_index": 0,
1637
+ "label": "图像"
1638
+ }
1639
+ ],
1640
+ "properties": {},
1641
+ "widgets_values": [
1642
+ 4,
1643
+ null
1644
+ ]
1645
+ },
1646
+ {
1647
+ "id": 120,
1648
+ "type": "GetImageSizeAndCount",
1649
+ "pos": [
1650
+ 6830,
1651
+ 120
1652
+ ],
1653
+ "size": {
1654
+ "0": 210,
1655
+ "1": 86
1656
+ },
1657
+ "flags": {
1658
+ "collapsed": true
1659
+ },
1660
+ "order": 17,
1661
+ "mode": 0,
1662
+ "inputs": [
1663
+ {
1664
+ "name": "image",
1665
+ "type": "IMAGE",
1666
+ "link": 209,
1667
+ "label": "图像"
1668
+ }
1669
+ ],
1670
+ "outputs": [
1671
+ {
1672
+ "name": "image",
1673
+ "type": "IMAGE",
1674
+ "links": [],
1675
+ "shape": 3,
1676
+ "slot_index": 0,
1677
+ "label": "图像"
1678
+ },
1679
+ {
1680
+ "name": "1024 width",
1681
+ "type": "INT",
1682
+ "links": null,
1683
+ "shape": 3
1684
+ },
1685
+ {
1686
+ "name": "1072 height",
1687
+ "type": "INT",
1688
+ "links": null,
1689
+ "shape": 3
1690
+ },
1691
+ {
1692
+ "name": "4 count",
1693
+ "type": "INT",
1694
+ "links": [
1695
+ 199
1696
+ ],
1697
+ "shape": 3,
1698
+ "slot_index": 3
1699
+ }
1700
+ ],
1701
+ "properties": {
1702
+ "Node name for S&R": "GetImageSizeAndCount"
1703
+ }
1704
+ },
1705
+ {
1706
+ "id": 121,
1707
+ "type": "SetNode",
1708
+ "pos": {
1709
+ "0": 2170,
1710
+ "1": 1177,
1711
+ "2": 0,
1712
+ "3": 0,
1713
+ "4": 0,
1714
+ "5": 0,
1715
+ "6": 0,
1716
+ "7": 0,
1717
+ "8": 0,
1718
+ "9": 0
1719
+ },
1720
+ "size": {
1721
+ "0": 210,
1722
+ "1": 58
1723
+ },
1724
+ "flags": {
1725
+ "collapsed": true
1726
+ },
1727
+ "order": 39,
1728
+ "mode": 0,
1729
+ "inputs": [
1730
+ {
1731
+ "name": "IMAGE",
1732
+ "type": "IMAGE",
1733
+ "link": 200
1734
+ }
1735
+ ],
1736
+ "outputs": [
1737
+ {
1738
+ "name": "*",
1739
+ "type": "*",
1740
+ "links": null,
1741
+ "label": "输出"
1742
+ }
1743
+ ],
1744
+ "properties": {
1745
+ "previousName": "Sampler1"
1746
+ },
1747
+ "widgets_values": [
1748
+ "Sampler1"
1749
+ ],
1750
+ "color": "#2a363b",
1751
+ "bgcolor": "#3f5159"
1752
+ },
1753
+ {
1754
+ "id": 122,
1755
+ "type": "SetNode",
1756
+ "pos": {
1757
+ "0": 3128,
1758
+ "1": 1177,
1759
+ "2": 0,
1760
+ "3": 0,
1761
+ "4": 0,
1762
+ "5": 0,
1763
+ "6": 0,
1764
+ "7": 0,
1765
+ "8": 0,
1766
+ "9": 0
1767
+ },
1768
+ "size": {
1769
+ "0": 210,
1770
+ "1": 58
1771
+ },
1772
+ "flags": {
1773
+ "collapsed": true
1774
+ },
1775
+ "order": 48,
1776
+ "mode": 0,
1777
+ "inputs": [
1778
+ {
1779
+ "name": "IMAGE",
1780
+ "type": "IMAGE",
1781
+ "link": 201
1782
+ }
1783
+ ],
1784
+ "outputs": [
1785
+ {
1786
+ "name": "*",
1787
+ "type": "*",
1788
+ "links": null,
1789
+ "label": "输出"
1790
+ }
1791
+ ],
1792
+ "properties": {
1793
+ "previousName": "Sampler2"
1794
+ },
1795
+ "widgets_values": [
1796
+ "Sampler2"
1797
+ ],
1798
+ "color": "#2a363b",
1799
+ "bgcolor": "#3f5159"
1800
+ },
1801
+ {
1802
+ "id": 123,
1803
+ "type": "GetNode",
1804
+ "pos": {
1805
+ "0": 6640,
1806
+ "1": 190,
1807
+ "2": 0,
1808
+ "3": 0,
1809
+ "4": 0,
1810
+ "5": 0,
1811
+ "6": 0,
1812
+ "7": 0,
1813
+ "8": 0,
1814
+ "9": 0
1815
+ },
1816
+ "size": {
1817
+ "0": 210,
1818
+ "1": 58
1819
+ },
1820
+ "flags": {
1821
+ "collapsed": true
1822
+ },
1823
+ "order": 4,
1824
+ "mode": 0,
1825
+ "inputs": [],
1826
+ "outputs": [
1827
+ {
1828
+ "name": "IMAGE",
1829
+ "type": "IMAGE",
1830
+ "links": [
1831
+ 202,
1832
+ 209
1833
+ ],
1834
+ "slot_index": 0
1835
+ }
1836
+ ],
1837
+ "properties": {},
1838
+ "widgets_values": [
1839
+ "Sampler1"
1840
+ ],
1841
+ "color": "#2a363b",
1842
+ "bgcolor": "#3f5159"
1843
+ },
1844
+ {
1845
+ "id": 124,
1846
+ "type": "GetNode",
1847
+ "pos": {
1848
+ "0": 6640,
1849
+ "1": 230,
1850
+ "2": 0,
1851
+ "3": 0,
1852
+ "4": 0,
1853
+ "5": 0,
1854
+ "6": 0,
1855
+ "7": 0,
1856
+ "8": 0,
1857
+ "9": 0
1858
+ },
1859
+ "size": {
1860
+ "0": 210,
1861
+ "1": 58
1862
+ },
1863
+ "flags": {
1864
+ "collapsed": true
1865
+ },
1866
+ "order": 5,
1867
+ "mode": 0,
1868
+ "inputs": [],
1869
+ "outputs": [
1870
+ {
1871
+ "name": "IMAGE",
1872
+ "type": "IMAGE",
1873
+ "links": [
1874
+ 203
1875
+ ],
1876
+ "slot_index": 0
1877
+ }
1878
+ ],
1879
+ "properties": {},
1880
+ "widgets_values": [
1881
+ "Sampler2"
1882
+ ],
1883
+ "color": "#2a363b",
1884
+ "bgcolor": "#3f5159"
1885
+ },
1886
+ {
1887
+ "id": 125,
1888
+ "type": "SetNode",
1889
+ "pos": {
1890
+ "0": 4278,
1891
+ "1": 1177,
1892
+ "2": 0,
1893
+ "3": 0,
1894
+ "4": 0,
1895
+ "5": 0,
1896
+ "6": 0,
1897
+ "7": 0,
1898
+ "8": 0,
1899
+ "9": 0
1900
+ },
1901
+ "size": {
1902
+ "0": 210,
1903
+ "1": 58
1904
+ },
1905
+ "flags": {
1906
+ "collapsed": true
1907
+ },
1908
+ "order": 55,
1909
+ "mode": 0,
1910
+ "inputs": [
1911
+ {
1912
+ "name": "IMAGE",
1913
+ "type": "IMAGE",
1914
+ "link": 204
1915
+ }
1916
+ ],
1917
+ "outputs": [
1918
+ {
1919
+ "name": "*",
1920
+ "type": "*",
1921
+ "links": [],
1922
+ "slot_index": 0,
1923
+ "label": "输出"
1924
+ }
1925
+ ],
1926
+ "properties": {
1927
+ "previousName": "Sampler3"
1928
+ },
1929
+ "widgets_values": [
1930
+ "Sampler3"
1931
+ ],
1932
+ "color": "#2a363b",
1933
+ "bgcolor": "#3f5159"
1934
+ },
1935
+ {
1936
+ "id": 126,
1937
+ "type": "GetNode",
1938
+ "pos": {
1939
+ "0": 6650,
1940
+ "1": 280,
1941
+ "2": 0,
1942
+ "3": 0,
1943
+ "4": 0,
1944
+ "5": 0,
1945
+ "6": 0,
1946
+ "7": 0,
1947
+ "8": 0,
1948
+ "9": 0
1949
+ },
1950
+ "size": {
1951
+ "0": 210,
1952
+ "1": 58
1953
+ },
1954
+ "flags": {
1955
+ "collapsed": true
1956
+ },
1957
+ "order": 6,
1958
+ "mode": 0,
1959
+ "inputs": [],
1960
+ "outputs": [
1961
+ {
1962
+ "name": "IMAGE",
1963
+ "type": "IMAGE",
1964
+ "links": [
1965
+ 206
1966
+ ],
1967
+ "slot_index": 0
1968
+ }
1969
+ ],
1970
+ "properties": {},
1971
+ "widgets_values": [
1972
+ "Sampler3"
1973
+ ],
1974
+ "color": "#2a363b",
1975
+ "bgcolor": "#3f5159"
1976
+ },
1977
+ {
1978
+ "id": 127,
1979
+ "type": "SetNode",
1980
+ "pos": {
1981
+ "0": 5319,
1982
+ "1": 1177,
1983
+ "2": 0,
1984
+ "3": 0,
1985
+ "4": 0,
1986
+ "5": 0,
1987
+ "6": 0,
1988
+ "7": 0,
1989
+ "8": 0,
1990
+ "9": 0
1991
+ },
1992
+ "size": {
1993
+ "0": 210,
1994
+ "1": 58
1995
+ },
1996
+ "flags": {
1997
+ "collapsed": true
1998
+ },
1999
+ "order": 66,
2000
+ "mode": 0,
2001
+ "inputs": [
2002
+ {
2003
+ "name": "IMAGE",
2004
+ "type": "IMAGE",
2005
+ "link": 207
2006
+ }
2007
+ ],
2008
+ "outputs": [
2009
+ {
2010
+ "name": "*",
2011
+ "type": "*",
2012
+ "links": null,
2013
+ "label": "输出"
2014
+ }
2015
+ ],
2016
+ "properties": {
2017
+ "previousName": "Sampler4"
2018
+ },
2019
+ "widgets_values": [
2020
+ "Sampler4"
2021
+ ],
2022
+ "color": "#2a363b",
2023
+ "bgcolor": "#3f5159"
2024
+ },
2025
+ {
2026
+ "id": 128,
2027
+ "type": "GetNode",
2028
+ "pos": {
2029
+ "0": 6640,
2030
+ "1": 330,
2031
+ "2": 0,
2032
+ "3": 0,
2033
+ "4": 0,
2034
+ "5": 0,
2035
+ "6": 0,
2036
+ "7": 0,
2037
+ "8": 0,
2038
+ "9": 0
2039
+ },
2040
+ "size": {
2041
+ "0": 210,
2042
+ "1": 58
2043
+ },
2044
+ "flags": {
2045
+ "collapsed": true
2046
+ },
2047
+ "order": 7,
2048
+ "mode": 0,
2049
+ "inputs": [],
2050
+ "outputs": [
2051
+ {
2052
+ "name": "IMAGE",
2053
+ "type": "IMAGE",
2054
+ "links": [
2055
+ 208
2056
+ ],
2057
+ "slot_index": 0
2058
+ }
2059
+ ],
2060
+ "properties": {},
2061
+ "widgets_values": [
2062
+ "Sampler4"
2063
+ ],
2064
+ "color": "#2a363b",
2065
+ "bgcolor": "#3f5159"
2066
+ },
2067
+ {
2068
+ "id": 129,
2069
+ "type": "AddLabel",
2070
+ "pos": [
2071
+ 6937,
2072
+ 60
2073
+ ],
2074
+ "size": {
2075
+ "0": 315,
2076
+ "1": 274
2077
+ },
2078
+ "flags": {
2079
+ "collapsed": true
2080
+ },
2081
+ "order": 61,
2082
+ "mode": 0,
2083
+ "inputs": [
2084
+ {
2085
+ "name": "image",
2086
+ "type": "IMAGE",
2087
+ "link": 210,
2088
+ "label": "图像"
2089
+ },
2090
+ {
2091
+ "name": "caption",
2092
+ "type": "STRING",
2093
+ "link": null,
2094
+ "widget": {
2095
+ "name": "caption"
2096
+ }
2097
+ },
2098
+ {
2099
+ "name": "text",
2100
+ "type": "STRING",
2101
+ "link": 213,
2102
+ "widget": {
2103
+ "name": "text"
2104
+ },
2105
+ "label": "文本"
2106
+ }
2107
+ ],
2108
+ "outputs": [
2109
+ {
2110
+ "name": "IMAGE",
2111
+ "type": "IMAGE",
2112
+ "links": [
2113
+ 214
2114
+ ],
2115
+ "shape": 3,
2116
+ "slot_index": 0,
2117
+ "label": "图像"
2118
+ }
2119
+ ],
2120
+ "properties": {
2121
+ "Node name for S&R": "AddLabel"
2122
+ },
2123
+ "widgets_values": [
2124
+ 10,
2125
+ 2,
2126
+ 48,
2127
+ 32,
2128
+ "white",
2129
+ "black",
2130
+ "FreeMono.ttf",
2131
+ "Text",
2132
+ "up",
2133
+ ""
2134
+ ]
2135
+ },
2136
+ {
2137
+ "id": 130,
2138
+ "type": "SaveImage",
2139
+ "pos": [
2140
+ 7132,
2141
+ 121
2142
+ ],
2143
+ "size": {
2144
+ "0": 619.8221435546875,
2145
+ "1": 714.4110107421875
2146
+ },
2147
+ "flags": {},
2148
+ "order": 65,
2149
+ "mode": 0,
2150
+ "inputs": [
2151
+ {
2152
+ "name": "images",
2153
+ "type": "IMAGE",
2154
+ "link": 214,
2155
+ "label": "图像"
2156
+ }
2157
+ ],
2158
+ "properties": {},
2159
+ "widgets_values": [
2160
+ "flux_lora_trainer_sheet"
2161
+ ]
2162
+ },
2163
+ {
2164
+ "id": 131,
2165
+ "type": "Note",
2166
+ "pos": [
2167
+ 478,
2168
+ -884
2169
+ ],
2170
+ "size": {
2171
+ "0": 210,
2172
+ "1": 58
2173
+ },
2174
+ "flags": {},
2175
+ "order": 8,
2176
+ "mode": 0,
2177
+ "properties": {
2178
+ "text": ""
2179
+ },
2180
+ "widgets_values": [
2181
+ "sanity check that all the args are chosen correctly"
2182
+ ],
2183
+ "color": "#432",
2184
+ "bgcolor": "#653"
2185
+ },
2186
+ {
2187
+ "id": 113,
2188
+ "type": "Note",
2189
+ "pos": [
2190
+ -564,
2191
+ 58
2192
+ ],
2193
+ "size": {
2194
+ "0": 462.68292236328125,
2195
+ "1": 79.98078918457031
2196
+ },
2197
+ "flags": {},
2198
+ "order": 9,
2199
+ "mode": 0,
2200
+ "properties": {
2201
+ "text": ""
2202
+ },
2203
+ "widgets_values": [
2204
+ "For multiresolution training, input same source directory with different dataset resolution. From what I hear, Flux likes multiple resolutions.\n\nFor single resolution training, just add single dataset."
2205
+ ],
2206
+ "color": "#432",
2207
+ "bgcolor": "#653"
2208
+ },
2209
+ {
2210
+ "id": 117,
2211
+ "type": "ImageConcatFromBatch",
2212
+ "pos": [
2213
+ 6690,
2214
+ 410
2215
+ ],
2216
+ "size": {
2217
+ "0": 315,
2218
+ "1": 106
2219
+ },
2220
+ "flags": {},
2221
+ "order": 21,
2222
+ "mode": 0,
2223
+ "inputs": [
2224
+ {
2225
+ "name": "images",
2226
+ "type": "IMAGE",
2227
+ "link": 195,
2228
+ "label": "images"
2229
+ },
2230
+ {
2231
+ "name": "num_columns",
2232
+ "type": "INT",
2233
+ "link": 199,
2234
+ "widget": {
2235
+ "name": "num_columns"
2236
+ },
2237
+ "label": "num_columns"
2238
+ }
2239
+ ],
2240
+ "outputs": [
2241
+ {
2242
+ "name": "IMAGE",
2243
+ "type": "IMAGE",
2244
+ "links": [
2245
+ 210
2246
+ ],
2247
+ "shape": 3,
2248
+ "slot_index": 0,
2249
+ "label": "IMAGE"
2250
+ }
2251
+ ],
2252
+ "properties": {
2253
+ "Node name for S&R": "ImageConcatFromBatch"
2254
+ },
2255
+ "widgets_values": [
2256
+ 3,
2257
+ false,
2258
+ 1024
2259
+ ]
2260
+ },
2261
+ {
2262
+ "id": 102,
2263
+ "type": "SaveImage",
2264
+ "pos": [
2265
+ 4370,
2266
+ -509
2267
+ ],
2268
+ "size": {
2269
+ "0": 574.23046875,
2270
+ "1": 414.46881103515625
2271
+ },
2272
+ "flags": {},
2273
+ "order": 47,
2274
+ "mode": 0,
2275
+ "inputs": [
2276
+ {
2277
+ "name": "images",
2278
+ "type": "IMAGE",
2279
+ "link": 165,
2280
+ "label": "图像"
2281
+ }
2282
+ ],
2283
+ "properties": {},
2284
+ "widgets_values": [
2285
+ "flux_lora_loss_plot"
2286
+ ]
2287
+ },
2288
+ {
2289
+ "id": 101,
2290
+ "type": "VisualizeLoss",
2291
+ "pos": [
2292
+ 4070,
2293
+ -490
2294
+ ],
2295
+ "size": {
2296
+ "0": 254.40000915527344,
2297
+ "1": 174
2298
+ },
2299
+ "flags": {},
2300
+ "order": 43,
2301
+ "mode": 0,
2302
+ "inputs": [
2303
+ {
2304
+ "name": "network_trainer",
2305
+ "type": "NETWORKTRAINER",
2306
+ "link": 166,
2307
+ "label": "network_trainer"
2308
+ }
2309
+ ],
2310
+ "outputs": [
2311
+ {
2312
+ "name": "plot",
2313
+ "type": "IMAGE",
2314
+ "links": [
2315
+ 165
2316
+ ],
2317
+ "slot_index": 0,
2318
+ "shape": 3,
2319
+ "label": "plot"
2320
+ },
2321
+ {
2322
+ "name": "loss_list",
2323
+ "type": "FLOAT",
2324
+ "links": null,
2325
+ "shape": 3,
2326
+ "label": "loss_list"
2327
+ }
2328
+ ],
2329
+ "properties": {
2330
+ "Node name for S&R": "VisualizeLoss"
2331
+ },
2332
+ "widgets_values": [
2333
+ "seaborn-v0_8-dark-palette",
2334
+ 100,
2335
+ true,
2336
+ 768,
2337
+ 512
2338
+ ]
2339
+ },
2340
+ {
2341
+ "id": 38,
2342
+ "type": "SetNode",
2343
+ "pos": {
2344
+ "0": 1214,
2345
+ "1": 66,
2346
+ "2": 0,
2347
+ "3": 0,
2348
+ "4": 0,
2349
+ "5": 0,
2350
+ "6": 0,
2351
+ "7": 0,
2352
+ "8": 0,
2353
+ "9": 0
2354
+ },
2355
+ "size": {
2356
+ "0": 210,
2357
+ "1": 58
2358
+ },
2359
+ "flags": {
2360
+ "collapsed": true
2361
+ },
2362
+ "order": 20,
2363
+ "mode": 0,
2364
+ "inputs": [
2365
+ {
2366
+ "name": "VALSETTINGS",
2367
+ "type": "VALSETTINGS",
2368
+ "link": 58
2369
+ }
2370
+ ],
2371
+ "outputs": [
2372
+ {
2373
+ "name": "*",
2374
+ "type": "*",
2375
+ "links": null,
2376
+ "label": "输出"
2377
+ }
2378
+ ],
2379
+ "properties": {
2380
+ "previousName": "validation_settings"
2381
+ },
2382
+ "widgets_values": [
2383
+ "validation_settings"
2384
+ ]
2385
+ },
2386
+ {
2387
+ "id": 108,
2388
+ "type": "TrainDatasetGeneralConfig",
2389
+ "pos": [
2390
+ -735,
2391
+ 270
2392
+ ],
2393
+ "size": {
2394
+ "0": 315,
2395
+ "1": 130
2396
+ },
2397
+ "flags": {},
2398
+ "order": 10,
2399
+ "mode": 0,
2400
+ "outputs": [
2401
+ {
2402
+ "name": "dataset_general",
2403
+ "type": "JSON",
2404
+ "links": [
2405
+ 215
2406
+ ],
2407
+ "slot_index": 0,
2408
+ "shape": 3,
2409
+ "label": "dataset_general"
2410
+ }
2411
+ ],
2412
+ "properties": {
2413
+ "Node name for S&R": "TrainDatasetGeneralConfig"
2414
+ },
2415
+ "widgets_values": [
2416
+ false,
2417
+ false,
2418
+ false,
2419
+ 0
2420
+ ]
2421
+ },
2422
+ {
2423
+ "id": 115,
2424
+ "type": "Note",
2425
+ "pos": [
2426
+ -554,
2427
+ -70
2428
+ ],
2429
+ "size": {
2430
+ "0": 462.68292236328125,
2431
+ "1": 79.98078918457031
2432
+ },
2433
+ "flags": {},
2434
+ "order": 11,
2435
+ "mode": 0,
2436
+ "properties": {
2437
+ "text": ""
2438
+ },
2439
+ "widgets_values": [
2440
+ "You can use same models as you use for inference in Comfy. When fp8_base is enabled, the model is downcasted to torch.float_e4m3fn on initialize, meaning if you load fp8 model here it should also be in same format."
2441
+ ],
2442
+ "color": "#432",
2443
+ "bgcolor": "#653"
2444
+ },
2445
+ {
2446
+ "id": 2,
2447
+ "type": "FluxTrainModelSelect",
2448
+ "pos": [
2449
+ 254,
2450
+ 99
2451
+ ],
2452
+ "size": {
2453
+ "0": 430,
2454
+ "1": 130
2455
+ },
2456
+ "flags": {},
2457
+ "order": 12,
2458
+ "mode": 0,
2459
+ "outputs": [
2460
+ {
2461
+ "name": "flux_models",
2462
+ "type": "TRAIN_FLUX_MODELS",
2463
+ "links": [
2464
+ 179
2465
+ ],
2466
+ "shape": 3,
2467
+ "label": "flux_models"
2468
+ }
2469
+ ],
2470
+ "properties": {
2471
+ "Node name for S&R": "FluxTrainModelSelect"
2472
+ },
2473
+ "widgets_values": [
2474
+ "flux1-dev-fp8.safetensors",
2475
+ "ae.sft",
2476
+ "clip_l.safetensors",
2477
+ "t5xxl_fp8_e4m3fn.safetensors"
2478
+ ]
2479
+ },
2480
+ {
2481
+ "id": 95,
2482
+ "type": "OptimizerConfig",
2483
+ "pos": [
2484
+ 244,
2485
+ 369
2486
+ ],
2487
+ "size": {
2488
+ "0": 315,
2489
+ "1": 244
2490
+ },
2491
+ "flags": {},
2492
+ "order": 13,
2493
+ "mode": 0,
2494
+ "outputs": [
2495
+ {
2496
+ "name": "optimizer_settings",
2497
+ "type": "ARGS",
2498
+ "links": [
2499
+ 180
2500
+ ],
2501
+ "shape": 3,
2502
+ "label": "optimizer_settings"
2503
+ }
2504
+ ],
2505
+ "properties": {
2506
+ "Node name for S&R": "OptimizerConfig"
2507
+ },
2508
+ "widgets_values": [
2509
+ "adamw8bit",
2510
+ 1,
2511
+ "constant",
2512
+ 0,
2513
+ 1,
2514
+ 1,
2515
+ 0,
2516
+ ""
2517
+ ]
2518
+ },
2519
+ {
2520
+ "id": 114,
2521
+ "type": "OptimizerConfigAdafactor",
2522
+ "pos": [
2523
+ 247,
2524
+ 639
2525
+ ],
2526
+ "size": {
2527
+ "0": 315,
2528
+ "1": 316
2529
+ },
2530
+ "flags": {},
2531
+ "order": 14,
2532
+ "mode": 0,
2533
+ "outputs": [
2534
+ {
2535
+ "name": "optimizer_settings",
2536
+ "type": "ARGS",
2537
+ "links": null,
2538
+ "shape": 3,
2539
+ "label": "optimizer_settings"
2540
+ }
2541
+ ],
2542
+ "properties": {
2543
+ "Node name for S&R": "OptimizerConfigAdafactor"
2544
+ },
2545
+ "widgets_values": [
2546
+ 1,
2547
+ "constant",
2548
+ 0,
2549
+ 1,
2550
+ 1,
2551
+ false,
2552
+ false,
2553
+ false,
2554
+ 1,
2555
+ 5,
2556
+ ""
2557
+ ]
2558
+ },
2559
+ {
2560
+ "id": 116,
2561
+ "type": "Note",
2562
+ "pos": [
2563
+ 758,
2564
+ -102
2565
+ ],
2566
+ "size": {
2567
+ "0": 308.08209228515625,
2568
+ "1": 78.06562805175781
2569
+ },
2570
+ "flags": {},
2571
+ "order": 15,
2572
+ "mode": 0,
2573
+ "properties": {
2574
+ "text": ""
2575
+ },
2576
+ "widgets_values": [
2577
+ "Validation sampling settings are set here for all the sampler nodes."
2578
+ ],
2579
+ "color": "#432",
2580
+ "bgcolor": "#653"
2581
+ },
2582
+ {
2583
+ "id": 37,
2584
+ "type": "FluxTrainValidationSettings",
2585
+ "pos": [
2586
+ 759,
2587
+ 28
2588
+ ],
2589
+ "size": {
2590
+ "0": 315,
2591
+ "1": 250
2592
+ },
2593
+ "flags": {},
2594
+ "order": 16,
2595
+ "mode": 0,
2596
+ "outputs": [
2597
+ {
2598
+ "name": "validation_settings",
2599
+ "type": "VALSETTINGS",
2600
+ "links": [
2601
+ 58
2602
+ ],
2603
+ "slot_index": 0,
2604
+ "shape": 3,
2605
+ "label": "validation_settings"
2606
+ }
2607
+ ],
2608
+ "properties": {
2609
+ "Node name for S&R": "FluxTrainValidationSettings"
2610
+ },
2611
+ "widgets_values": [
2612
+ 20,
2613
+ 512,
2614
+ 512,
2615
+ 3,
2616
+ 42,
2617
+ "fixed",
2618
+ true,
2619
+ 0.5,
2620
+ 1.15
2621
+ ]
2622
+ },
2623
+ {
2624
+ "id": 105,
2625
+ "type": "Display Any (rgthree)",
2626
+ "pos": [
2627
+ 487,
2628
+ -701
2629
+ ],
2630
+ "size": {
2631
+ "0": 1073.7608642578125,
2632
+ "1": 492.8503112792969
2633
+ },
2634
+ "flags": {},
2635
+ "order": 25,
2636
+ "mode": 0,
2637
+ "inputs": [
2638
+ {
2639
+ "name": "source",
2640
+ "type": "*",
2641
+ "link": 183,
2642
+ "dir": 3,
2643
+ "label": "输入"
2644
+ }
2645
+ ],
2646
+ "properties": {
2647
+ "Node name for S&R": "Display Any (rgthree)"
2648
+ },
2649
+ "widgets_values": [
2650
+ ""
2651
+ ]
2652
+ },
2653
+ {
2654
+ "id": 88,
2655
+ "type": "Display Any (rgthree)",
2656
+ "pos": [
2657
+ 1129,
2658
+ 102
2659
+ ],
2660
+ "size": {
2661
+ "0": 210,
2662
+ "1": 76
2663
+ },
2664
+ "flags": {},
2665
+ "order": 24,
2666
+ "mode": 0,
2667
+ "inputs": [
2668
+ {
2669
+ "name": "source",
2670
+ "type": "*",
2671
+ "link": 216,
2672
+ "dir": 3,
2673
+ "label": "输入"
2674
+ }
2675
+ ],
2676
+ "properties": {
2677
+ "Node name for S&R": "Display Any (rgthree)"
2678
+ },
2679
+ "widgets_values": [
2680
+ ""
2681
+ ]
2682
+ },
2683
+ {
2684
+ "id": 4,
2685
+ "type": "FluxTrainLoop",
2686
+ "pos": [
2687
+ 1534,
2688
+ 276
2689
+ ],
2690
+ "size": {
2691
+ "0": 393,
2692
+ "1": 78
2693
+ },
2694
+ "flags": {},
2695
+ "order": 23,
2696
+ "mode": 0,
2697
+ "inputs": [
2698
+ {
2699
+ "name": "network_trainer",
2700
+ "type": "NETWORKTRAINER",
2701
+ "link": 181,
2702
+ "label": "network_trainer"
2703
+ }
2704
+ ],
2705
+ "outputs": [
2706
+ {
2707
+ "name": "network_trainer",
2708
+ "type": "NETWORKTRAINER",
2709
+ "links": [
2710
+ 7,
2711
+ 162
2712
+ ],
2713
+ "slot_index": 0,
2714
+ "shape": 3,
2715
+ "label": "network_trainer"
2716
+ },
2717
+ {
2718
+ "name": "steps",
2719
+ "type": "INT",
2720
+ "links": null,
2721
+ "shape": 3,
2722
+ "label": "steps"
2723
+ }
2724
+ ],
2725
+ "properties": {
2726
+ "Node name for S&R": "FluxTrainLoop"
2727
+ },
2728
+ "widgets_values": [
2729
+ 150
2730
+ ],
2731
+ "color": "#232",
2732
+ "bgcolor": "#353"
2733
+ },
2734
+ {
2735
+ "id": 44,
2736
+ "type": "FluxTrainLoop",
2737
+ "pos": [
2738
+ 2636,
2739
+ 338
2740
+ ],
2741
+ "size": {
2742
+ "0": 393,
2743
+ "1": 78
2744
+ },
2745
+ "flags": {},
2746
+ "order": 31,
2747
+ "mode": 0,
2748
+ "inputs": [
2749
+ {
2750
+ "name": "network_trainer",
2751
+ "type": "NETWORKTRAINER",
2752
+ "link": 72,
2753
+ "label": "network_trainer"
2754
+ }
2755
+ ],
2756
+ "outputs": [
2757
+ {
2758
+ "name": "network_trainer",
2759
+ "type": "NETWORKTRAINER",
2760
+ "links": [
2761
+ 137,
2762
+ 164
2763
+ ],
2764
+ "slot_index": 0,
2765
+ "shape": 3,
2766
+ "label": "network_trainer"
2767
+ },
2768
+ {
2769
+ "name": "steps",
2770
+ "type": "INT",
2771
+ "links": null,
2772
+ "shape": 3,
2773
+ "label": "steps"
2774
+ }
2775
+ ],
2776
+ "properties": {
2777
+ "Node name for S&R": "FluxTrainLoop"
2778
+ },
2779
+ "widgets_values": [
2780
+ 150
2781
+ ],
2782
+ "color": "#232",
2783
+ "bgcolor": "#353"
2784
+ },
2785
+ {
2786
+ "id": 59,
2787
+ "type": "FluxTrainLoop",
2788
+ "pos": [
2789
+ 3697,
2790
+ 338
2791
+ ],
2792
+ "size": {
2793
+ "0": 393,
2794
+ "1": 78
2795
+ },
2796
+ "flags": {},
2797
+ "order": 40,
2798
+ "mode": 0,
2799
+ "inputs": [
2800
+ {
2801
+ "name": "network_trainer",
2802
+ "type": "NETWORKTRAINER",
2803
+ "link": 97,
2804
+ "label": "network_trainer"
2805
+ }
2806
+ ],
2807
+ "outputs": [
2808
+ {
2809
+ "name": "network_trainer",
2810
+ "type": "NETWORKTRAINER",
2811
+ "links": [
2812
+ 88,
2813
+ 166
2814
+ ],
2815
+ "slot_index": 0,
2816
+ "shape": 3,
2817
+ "label": "network_trainer"
2818
+ },
2819
+ {
2820
+ "name": "steps",
2821
+ "type": "INT",
2822
+ "links": null,
2823
+ "shape": 3,
2824
+ "label": "steps"
2825
+ }
2826
+ ],
2827
+ "properties": {
2828
+ "Node name for S&R": "FluxTrainLoop"
2829
+ },
2830
+ "widgets_values": [
2831
+ 150
2832
+ ],
2833
+ "color": "#232",
2834
+ "bgcolor": "#353"
2835
+ },
2836
+ {
2837
+ "id": 64,
2838
+ "type": "FluxTrainLoop",
2839
+ "pos": [
2840
+ 4765,
2841
+ 358
2842
+ ],
2843
+ "size": {
2844
+ "0": 393,
2845
+ "1": 78
2846
+ },
2847
+ "flags": {},
2848
+ "order": 49,
2849
+ "mode": 0,
2850
+ "inputs": [
2851
+ {
2852
+ "name": "network_trainer",
2853
+ "type": "NETWORKTRAINER",
2854
+ "link": 92,
2855
+ "label": "network_trainer"
2856
+ }
2857
+ ],
2858
+ "outputs": [
2859
+ {
2860
+ "name": "network_trainer",
2861
+ "type": "NETWORKTRAINER",
2862
+ "links": [
2863
+ 93
2864
+ ],
2865
+ "slot_index": 0,
2866
+ "shape": 3,
2867
+ "label": "network_trainer"
2868
+ },
2869
+ {
2870
+ "name": "steps",
2871
+ "type": "INT",
2872
+ "links": null,
2873
+ "shape": 3,
2874
+ "label": "steps"
2875
+ }
2876
+ ],
2877
+ "properties": {
2878
+ "Node name for S&R": "FluxTrainLoop"
2879
+ },
2880
+ "widgets_values": [
2881
+ 150
2882
+ ],
2883
+ "color": "#232",
2884
+ "bgcolor": "#353"
2885
+ },
2886
+ {
2887
+ "id": 112,
2888
+ "type": "TrainDatasetAdd",
2889
+ "pos": [
2890
+ -351,
2891
+ 257
2892
+ ],
2893
+ "size": {
2894
+ "0": 259.5897521972656,
2895
+ "1": 318
2896
+ },
2897
+ "flags": {},
2898
+ "order": 19,
2899
+ "mode": 0,
2900
+ "inputs": [
2901
+ {
2902
+ "name": "dataset_config",
2903
+ "type": "JSON",
2904
+ "link": 215,
2905
+ "label": "dataset_config"
2906
+ }
2907
+ ],
2908
+ "outputs": [
2909
+ {
2910
+ "name": "dataset",
2911
+ "type": "JSON",
2912
+ "links": [
2913
+ 189
2914
+ ],
2915
+ "slot_index": 0,
2916
+ "shape": 3,
2917
+ "label": "dataset"
2918
+ }
2919
+ ],
2920
+ "properties": {
2921
+ "Node name for S&R": "TrainDatasetAdd"
2922
+ },
2923
+ "widgets_values": [
2924
+ 512,
2925
+ 512,
2926
+ 2,
2927
+ "/root/autodl-tmp/dataset/fluorescent_orange",
2928
+ "Juaner_font",
2929
+ true,
2930
+ false,
2931
+ 10,
2932
+ 256,
2933
+ 1024
2934
+ ]
2935
+ },
2936
+ {
2937
+ "id": 107,
2938
+ "type": "InitFluxLoRATraining",
2939
+ "pos": [
2940
+ 737,
2941
+ 257
2942
+ ],
2943
+ "size": {
2944
+ "0": 437.6565246582031,
2945
+ "1": 802.5902099609375
2946
+ },
2947
+ "flags": {},
2948
+ "order": 22,
2949
+ "mode": 0,
2950
+ "inputs": [
2951
+ {
2952
+ "name": "flux_models",
2953
+ "type": "TRAIN_FLUX_MODELS",
2954
+ "link": 179,
2955
+ "label": "flux_models"
2956
+ },
2957
+ {
2958
+ "name": "dataset",
2959
+ "type": "JSON",
2960
+ "link": 189,
2961
+ "label": "dataset"
2962
+ },
2963
+ {
2964
+ "name": "optimizer_settings",
2965
+ "type": "ARGS",
2966
+ "link": 180,
2967
+ "label": "optimizer_settings"
2968
+ }
2969
+ ],
2970
+ "outputs": [
2971
+ {
2972
+ "name": "network_trainer",
2973
+ "type": "NETWORKTRAINER",
2974
+ "links": [
2975
+ 181
2976
+ ],
2977
+ "shape": 3,
2978
+ "label": "network_trainer"
2979
+ },
2980
+ {
2981
+ "name": "epochs_count",
2982
+ "type": "INT",
2983
+ "links": [
2984
+ 216
2985
+ ],
2986
+ "shape": 3,
2987
+ "label": "epochs_count",
2988
+ "slot_index": 1
2989
+ },
2990
+ {
2991
+ "name": "args",
2992
+ "type": "KOHYA_ARGS",
2993
+ "links": [
2994
+ 183
2995
+ ],
2996
+ "shape": 3,
2997
+ "label": "args"
2998
+ }
2999
+ ],
3000
+ "properties": {
3001
+ "Node name for S&R": "InitFluxLoRATraining"
3002
+ },
3003
+ "widgets_values": [
3004
+ "j_fluorescent_orange_flux",
3005
+ "/root/autodl-tmp/output/fluorescent_orange",
3006
+ 16,
3007
+ 8,
3008
+ 0.00039999999999999996,
3009
+ 600,
3010
+ true,
3011
+ "disk",
3012
+ "disk",
3013
+ false,
3014
+ "logit_normal",
3015
+ 0,
3016
+ 1,
3017
+ 1.29,
3018
+ "sigmoid",
3019
+ 1,
3020
+ "raw",
3021
+ 1,
3022
+ 1,
3023
+ false,
3024
+ true,
3025
+ "fp32",
3026
+ "bf16",
3027
+ "sdpa",
3028
+ "Juaner_font, Cyberpunk Warrior + Title: \"Rise\" in top-center, metallic font + Content: A futuristic warrior in a neon-lit city, holding a glowing sword, his silhouette reflecting the metallic title + Background: Dark cityscape with neon signs, orange purple and blue hues",
3029
+ ""
3030
+ ]
3031
+ }
3032
+ ],
3033
+ "links": [
3034
+ [
3035
+ 7,
3036
+ 4,
3037
+ 0,
3038
+ 8,
3039
+ 0,
3040
+ "NETWORKTRAINER"
3041
+ ],
3042
+ [
3043
+ 8,
3044
+ 8,
3045
+ 1,
3046
+ 9,
3047
+ 0,
3048
+ "IMAGE"
3049
+ ],
3050
+ [
3051
+ 40,
3052
+ 8,
3053
+ 0,
3054
+ 14,
3055
+ 0,
3056
+ "NETWORKTRAINER"
3057
+ ],
3058
+ [
3059
+ 58,
3060
+ 37,
3061
+ 0,
3062
+ 38,
3063
+ 0,
3064
+ "*"
3065
+ ],
3066
+ [
3067
+ 60,
3068
+ 40,
3069
+ 0,
3070
+ 8,
3071
+ 1,
3072
+ "VALSETTINGS"
3073
+ ],
3074
+ [
3075
+ 69,
3076
+ 48,
3077
+ 0,
3078
+ 45,
3079
+ 1,
3080
+ "VALSETTINGS"
3081
+ ],
3082
+ [
3083
+ 70,
3084
+ 45,
3085
+ 1,
3086
+ 46,
3087
+ 0,
3088
+ "IMAGE"
3089
+ ],
3090
+ [
3091
+ 71,
3092
+ 45,
3093
+ 0,
3094
+ 47,
3095
+ 0,
3096
+ "NETWORKTRAINER"
3097
+ ],
3098
+ [
3099
+ 72,
3100
+ 14,
3101
+ 0,
3102
+ 44,
3103
+ 0,
3104
+ "NETWORKTRAINER"
3105
+ ],
3106
+ [
3107
+ 88,
3108
+ 59,
3109
+ 0,
3110
+ 60,
3111
+ 0,
3112
+ "NETWORKTRAINER"
3113
+ ],
3114
+ [
3115
+ 89,
3116
+ 63,
3117
+ 0,
3118
+ 60,
3119
+ 1,
3120
+ "VALSETTINGS"
3121
+ ],
3122
+ [
3123
+ 90,
3124
+ 60,
3125
+ 1,
3126
+ 61,
3127
+ 0,
3128
+ "IMAGE"
3129
+ ],
3130
+ [
3131
+ 91,
3132
+ 60,
3133
+ 0,
3134
+ 62,
3135
+ 0,
3136
+ "NETWORKTRAINER"
3137
+ ],
3138
+ [
3139
+ 92,
3140
+ 62,
3141
+ 0,
3142
+ 64,
3143
+ 0,
3144
+ "NETWORKTRAINER"
3145
+ ],
3146
+ [
3147
+ 93,
3148
+ 64,
3149
+ 0,
3150
+ 65,
3151
+ 0,
3152
+ "NETWORKTRAINER"
3153
+ ],
3154
+ [
3155
+ 94,
3156
+ 68,
3157
+ 0,
3158
+ 65,
3159
+ 1,
3160
+ "VALSETTINGS"
3161
+ ],
3162
+ [
3163
+ 95,
3164
+ 65,
3165
+ 1,
3166
+ 66,
3167
+ 0,
3168
+ "IMAGE"
3169
+ ],
3170
+ [
3171
+ 96,
3172
+ 65,
3173
+ 0,
3174
+ 67,
3175
+ 0,
3176
+ "NETWORKTRAINER"
3177
+ ],
3178
+ [
3179
+ 97,
3180
+ 47,
3181
+ 0,
3182
+ 59,
3183
+ 0,
3184
+ "NETWORKTRAINER"
3185
+ ],
3186
+ [
3187
+ 98,
3188
+ 67,
3189
+ 0,
3190
+ 69,
3191
+ 0,
3192
+ "NETWORKTRAINER"
3193
+ ],
3194
+ [
3195
+ 99,
3196
+ 67,
3197
+ 0,
3198
+ 70,
3199
+ 0,
3200
+ "NETWORKTRAINER"
3201
+ ],
3202
+ [
3203
+ 103,
3204
+ 69,
3205
+ 0,
3206
+ 74,
3207
+ 0,
3208
+ "*"
3209
+ ],
3210
+ [
3211
+ 110,
3212
+ 14,
3213
+ 2,
3214
+ 79,
3215
+ 0,
3216
+ "*"
3217
+ ],
3218
+ [
3219
+ 111,
3220
+ 79,
3221
+ 0,
3222
+ 78,
3223
+ 2,
3224
+ "STRING"
3225
+ ],
3226
+ [
3227
+ 112,
3228
+ 8,
3229
+ 1,
3230
+ 78,
3231
+ 0,
3232
+ "IMAGE"
3233
+ ],
3234
+ [
3235
+ 116,
3236
+ 47,
3237
+ 2,
3238
+ 81,
3239
+ 0,
3240
+ "*"
3241
+ ],
3242
+ [
3243
+ 117,
3244
+ 81,
3245
+ 0,
3246
+ 80,
3247
+ 2,
3248
+ "STRING"
3249
+ ],
3250
+ [
3251
+ 119,
3252
+ 45,
3253
+ 1,
3254
+ 80,
3255
+ 0,
3256
+ "IMAGE"
3257
+ ],
3258
+ [
3259
+ 120,
3260
+ 62,
3261
+ 2,
3262
+ 82,
3263
+ 0,
3264
+ "*"
3265
+ ],
3266
+ [
3267
+ 121,
3268
+ 82,
3269
+ 0,
3270
+ 83,
3271
+ 2,
3272
+ "STRING"
3273
+ ],
3274
+ [
3275
+ 122,
3276
+ 60,
3277
+ 1,
3278
+ 83,
3279
+ 0,
3280
+ "IMAGE"
3281
+ ],
3282
+ [
3283
+ 124,
3284
+ 84,
3285
+ 0,
3286
+ 85,
3287
+ 2,
3288
+ "STRING"
3289
+ ],
3290
+ [
3291
+ 125,
3292
+ 67,
3293
+ 2,
3294
+ 84,
3295
+ 0,
3296
+ "*"
3297
+ ],
3298
+ [
3299
+ 126,
3300
+ 65,
3301
+ 1,
3302
+ 85,
3303
+ 0,
3304
+ "IMAGE"
3305
+ ],
3306
+ [
3307
+ 135,
3308
+ 69,
3309
+ 0,
3310
+ 89,
3311
+ 1,
3312
+ "STRING"
3313
+ ],
3314
+ [
3315
+ 136,
3316
+ 89,
3317
+ 1,
3318
+ 73,
3319
+ 0,
3320
+ "*"
3321
+ ],
3322
+ [
3323
+ 137,
3324
+ 44,
3325
+ 0,
3326
+ 45,
3327
+ 0,
3328
+ "NETWORKTRAINER"
3329
+ ],
3330
+ [
3331
+ 138,
3332
+ 70,
3333
+ 0,
3334
+ 90,
3335
+ 0,
3336
+ "IMAGE"
3337
+ ],
3338
+ [
3339
+ 161,
3340
+ 97,
3341
+ 0,
3342
+ 98,
3343
+ 0,
3344
+ "IMAGE"
3345
+ ],
3346
+ [
3347
+ 162,
3348
+ 4,
3349
+ 0,
3350
+ 97,
3351
+ 0,
3352
+ "NETWORKTRAINER"
3353
+ ],
3354
+ [
3355
+ 163,
3356
+ 99,
3357
+ 0,
3358
+ 100,
3359
+ 0,
3360
+ "IMAGE"
3361
+ ],
3362
+ [
3363
+ 164,
3364
+ 44,
3365
+ 0,
3366
+ 99,
3367
+ 0,
3368
+ "NETWORKTRAINER"
3369
+ ],
3370
+ [
3371
+ 165,
3372
+ 101,
3373
+ 0,
3374
+ 102,
3375
+ 0,
3376
+ "IMAGE"
3377
+ ],
3378
+ [
3379
+ 166,
3380
+ 59,
3381
+ 0,
3382
+ 101,
3383
+ 0,
3384
+ "NETWORKTRAINER"
3385
+ ],
3386
+ [
3387
+ 179,
3388
+ 2,
3389
+ 0,
3390
+ 107,
3391
+ 0,
3392
+ "TRAIN_FLUX_MODELS"
3393
+ ],
3394
+ [
3395
+ 180,
3396
+ 95,
3397
+ 0,
3398
+ 107,
3399
+ 2,
3400
+ "ARGS"
3401
+ ],
3402
+ [
3403
+ 181,
3404
+ 107,
3405
+ 0,
3406
+ 4,
3407
+ 0,
3408
+ "NETWORKTRAINER"
3409
+ ],
3410
+ [
3411
+ 183,
3412
+ 107,
3413
+ 2,
3414
+ 105,
3415
+ 0,
3416
+ "*"
3417
+ ],
3418
+ [
3419
+ 189,
3420
+ 112,
3421
+ 0,
3422
+ 107,
3423
+ 1,
3424
+ "JSON"
3425
+ ],
3426
+ [
3427
+ 195,
3428
+ 119,
3429
+ 0,
3430
+ 117,
3431
+ 0,
3432
+ "IMAGE"
3433
+ ],
3434
+ [
3435
+ 199,
3436
+ 120,
3437
+ 3,
3438
+ 117,
3439
+ 1,
3440
+ "INT"
3441
+ ],
3442
+ [
3443
+ 200,
3444
+ 78,
3445
+ 0,
3446
+ 121,
3447
+ 0,
3448
+ "*"
3449
+ ],
3450
+ [
3451
+ 201,
3452
+ 80,
3453
+ 0,
3454
+ 122,
3455
+ 0,
3456
+ "*"
3457
+ ],
3458
+ [
3459
+ 202,
3460
+ 123,
3461
+ 0,
3462
+ 119,
3463
+ 0,
3464
+ "IMAGE"
3465
+ ],
3466
+ [
3467
+ 203,
3468
+ 124,
3469
+ 0,
3470
+ 119,
3471
+ 1,
3472
+ "IMAGE"
3473
+ ],
3474
+ [
3475
+ 204,
3476
+ 83,
3477
+ 0,
3478
+ 125,
3479
+ 0,
3480
+ "*"
3481
+ ],
3482
+ [
3483
+ 206,
3484
+ 126,
3485
+ 0,
3486
+ 119,
3487
+ 2,
3488
+ "IMAGE"
3489
+ ],
3490
+ [
3491
+ 207,
3492
+ 85,
3493
+ 0,
3494
+ 127,
3495
+ 0,
3496
+ "*"
3497
+ ],
3498
+ [
3499
+ 208,
3500
+ 128,
3501
+ 0,
3502
+ 119,
3503
+ 3,
3504
+ "IMAGE"
3505
+ ],
3506
+ [
3507
+ 209,
3508
+ 123,
3509
+ 0,
3510
+ 120,
3511
+ 0,
3512
+ "IMAGE"
3513
+ ],
3514
+ [
3515
+ 210,
3516
+ 117,
3517
+ 0,
3518
+ 129,
3519
+ 0,
3520
+ "IMAGE"
3521
+ ],
3522
+ [
3523
+ 213,
3524
+ 69,
3525
+ 0,
3526
+ 129,
3527
+ 2,
3528
+ "STRING"
3529
+ ],
3530
+ [
3531
+ 214,
3532
+ 129,
3533
+ 0,
3534
+ 130,
3535
+ 0,
3536
+ "IMAGE"
3537
+ ],
3538
+ [
3539
+ 215,
3540
+ 108,
3541
+ 0,
3542
+ 112,
3543
+ 0,
3544
+ "JSON"
3545
+ ],
3546
+ [
3547
+ 216,
3548
+ 107,
3549
+ 1,
3550
+ 88,
3551
+ 0,
3552
+ "*"
3553
+ ]
3554
+ ],
3555
+ "groups": [
3556
+ {
3557
+ "title": "Train_01",
3558
+ "bounding": [
3559
+ 1439,
3560
+ 120,
3561
+ 1107,
3562
+ 975
3563
+ ],
3564
+ "color": "#3f789e",
3565
+ "font_size": 24,
3566
+ "locked": false
3567
+ },
3568
+ {
3569
+ "title": "Settings and init",
3570
+ "bounding": [
3571
+ 193,
3572
+ -145,
3573
+ 1174,
3574
+ 1238
3575
+ ],
3576
+ "color": "#b06634",
3577
+ "font_size": 24,
3578
+ "locked": false
3579
+ },
3580
+ {
3581
+ "title": "Train_02",
3582
+ "bounding": [
3583
+ 2602,
3584
+ 124,
3585
+ 1046,
3586
+ 975
3587
+ ],
3588
+ "color": "#3f789e",
3589
+ "font_size": 24,
3590
+ "locked": false
3591
+ },
3592
+ {
3593
+ "title": "Train_03",
3594
+ "bounding": [
3595
+ 3681,
3596
+ 128,
3597
+ 1047,
3598
+ 986
3599
+ ],
3600
+ "color": "#3f789e",
3601
+ "font_size": 24,
3602
+ "locked": false
3603
+ },
3604
+ {
3605
+ "title": "Train_04",
3606
+ "bounding": [
3607
+ 4753,
3608
+ 127,
3609
+ 996,
3610
+ 989
3611
+ ],
3612
+ "color": "#3f789e",
3613
+ "font_size": 24,
3614
+ "locked": false
3615
+ },
3616
+ {
3617
+ "title": "Dataset",
3618
+ "bounding": [
3619
+ -1242,
3620
+ -143,
3621
+ 1362,
3622
+ 851
3623
+ ],
3624
+ "color": "#3f789e",
3625
+ "font_size": 24,
3626
+ "locked": false
3627
+ }
3628
+ ],
3629
+ "config": {},
3630
+ "extra": {
3631
+ "ds": {
3632
+ "scale": 0.7513148009015777,
3633
+ "offset": [
3634
+ -565.2900355006152,
3635
+ 61.19681141541756
3636
+ ]
3637
+ }
3638
+ },
3639
+ "version": 0.4
3640
+ }