Model card auto-generated by SimpleTuner
Browse files
README.md
CHANGED
@@ -79,9 +79,9 @@ You may reuse the base model text encoder for inference.
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## Training settings
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-
- Training epochs:
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-
- Training steps:
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84 |
-
- Learning rate:
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85 |
- Max grad norm: 0.01
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- Effective batch size: 4
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- Micro-batch size: 4
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@@ -89,29 +89,1090 @@ You may reuse the base model text encoder for inference.
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- Number of GPUs: 1
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- Prediction type: flow-matching
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- Rescaled betas zero SNR: False
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-
- Optimizer:
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- Precision: Pure BF16
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-
- Quantised:
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- Xformers: Not used
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- LyCORIS Config:
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```json
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{
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-
"bypass_mode": true,
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"algo": "lokr",
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"multiplier": 1.0,
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-
"
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-
"linear_dim": 10000,
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"linear_alpha": 1,
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-
"factor":
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"apply_preset": {
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"target_module": [
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-
"
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],
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"
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"
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-
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|
113 |
}
|
114 |
-
}
|
|
|
115 |
}
|
116 |
}
|
117 |
```
|
|
|
79 |
|
80 |
## Training settings
|
81 |
|
82 |
+
- Training epochs: 0
|
83 |
+
- Training steps: 100
|
84 |
+
- Learning rate: 2e-06
|
85 |
- Max grad norm: 0.01
|
86 |
- Effective batch size: 4
|
87 |
- Micro-batch size: 4
|
|
|
89 |
- Number of GPUs: 1
|
90 |
- Prediction type: flow-matching
|
91 |
- Rescaled betas zero SNR: False
|
92 |
+
- Optimizer: adamw_bf16
|
93 |
- Precision: Pure BF16
|
94 |
+
- Quantised: Yes: int8-quanto
|
95 |
- Xformers: Not used
|
96 |
- LyCORIS Config:
|
97 |
```json
|
98 |
{
|
|
|
99 |
"algo": "lokr",
|
100 |
"multiplier": 1.0,
|
101 |
+
"linear_dim": 1000000,
|
|
|
102 |
"linear_alpha": 1,
|
103 |
+
"factor": 1,
|
104 |
+
"full_matrix": true,
|
105 |
"apply_preset": {
|
106 |
"target_module": [
|
107 |
+
"JointTransformerBlock"
|
108 |
],
|
109 |
+
"name_algo_map": {
|
110 |
+
"transformer_blocks.0.norm1*": {
|
111 |
+
"algo": "lokr",
|
112 |
+
"factor": 1,
|
113 |
+
"linear_dim": 1000000,
|
114 |
+
"linear_alpha": 1,
|
115 |
+
"full_matrix": true
|
116 |
+
},
|
117 |
+
"transformer_blocks.0.norm1_context*": {
|
118 |
+
"algo": "lokr",
|
119 |
+
"factor": 1,
|
120 |
+
"linear_dim": 1000000,
|
121 |
+
"linear_alpha": 1,
|
122 |
+
"full_matrix": true
|
123 |
+
},
|
124 |
+
"transformer_blocks.0.ff*": {
|
125 |
+
"algo": "lokr",
|
126 |
+
"factor": 1,
|
127 |
+
"linear_dim": 1000000,
|
128 |
+
"linear_alpha": 1,
|
129 |
+
"full_matrix": true
|
130 |
+
},
|
131 |
+
"transformer_blocks.0.*": {
|
132 |
+
"algo": "lokr",
|
133 |
+
"factor": 2,
|
134 |
+
"linear_dim": 1000000,
|
135 |
+
"linear_alpha": 1,
|
136 |
+
"full_matrix": true
|
137 |
+
},
|
138 |
+
"transformer_blocks.1.norm1*": {
|
139 |
+
"algo": "lokr",
|
140 |
+
"factor": 3,
|
141 |
+
"linear_dim": 1000000,
|
142 |
+
"linear_alpha": 1,
|
143 |
+
"full_matrix": true
|
144 |
+
},
|
145 |
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|
1010 |
+
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|
1011 |
+
"full_matrix": true
|
1012 |
+
},
|
1013 |
+
"transformer_blocks.32.norm1_context*": {
|
1014 |
+
"algo": "lokr",
|
1015 |
+
"factor": 4,
|
1016 |
+
"linear_dim": 1000000,
|
1017 |
+
"linear_alpha": 1,
|
1018 |
+
"full_matrix": true
|
1019 |
+
},
|
1020 |
+
"transformer_blocks.32.ff*": {
|
1021 |
+
"algo": "lokr",
|
1022 |
+
"factor": 4,
|
1023 |
+
"linear_dim": 1000000,
|
1024 |
+
"linear_alpha": 1,
|
1025 |
+
"full_matrix": true
|
1026 |
+
},
|
1027 |
+
"transformer_blocks.32.*": {
|
1028 |
+
"algo": "lokr",
|
1029 |
+
"factor": 8,
|
1030 |
+
"linear_dim": 1000000,
|
1031 |
+
"linear_alpha": 1,
|
1032 |
+
"full_matrix": true
|
1033 |
+
},
|
1034 |
+
"transformer_blocks.33.norm1*": {
|
1035 |
+
"algo": "lokr",
|
1036 |
+
"factor": 3,
|
1037 |
+
"linear_dim": 1000000,
|
1038 |
+
"linear_alpha": 1,
|
1039 |
+
"full_matrix": true
|
1040 |
+
},
|
1041 |
+
"transformer_blocks.33.norm1_context*": {
|
1042 |
+
"algo": "lokr",
|
1043 |
+
"factor": 3,
|
1044 |
+
"linear_dim": 1000000,
|
1045 |
+
"linear_alpha": 1,
|
1046 |
+
"full_matrix": true
|
1047 |
+
},
|
1048 |
+
"transformer_blocks.33.ff*": {
|
1049 |
+
"algo": "lokr",
|
1050 |
+
"factor": 3,
|
1051 |
+
"linear_dim": 1000000,
|
1052 |
+
"linear_alpha": 1,
|
1053 |
+
"full_matrix": true
|
1054 |
+
},
|
1055 |
+
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|
1056 |
+
"algo": "lokr",
|
1057 |
+
"factor": 6,
|
1058 |
+
"linear_dim": 1000000,
|
1059 |
+
"linear_alpha": 1,
|
1060 |
+
"full_matrix": true
|
1061 |
+
},
|
1062 |
+
"transformer_blocks.34.norm1*": {
|
1063 |
+
"algo": "lokr",
|
1064 |
+
"factor": 3,
|
1065 |
+
"linear_dim": 1000000,
|
1066 |
+
"linear_alpha": 1,
|
1067 |
+
"full_matrix": true
|
1068 |
+
},
|
1069 |
+
"transformer_blocks.34.norm1_context*": {
|
1070 |
+
"algo": "lokr",
|
1071 |
+
"factor": 3,
|
1072 |
+
"linear_dim": 1000000,
|
1073 |
+
"linear_alpha": 1,
|
1074 |
+
"full_matrix": true
|
1075 |
+
},
|
1076 |
+
"transformer_blocks.34.ff*": {
|
1077 |
+
"algo": "lokr",
|
1078 |
+
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|
1079 |
+
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|
1080 |
+
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|
1081 |
+
"full_matrix": true
|
1082 |
+
},
|
1083 |
+
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|
1084 |
+
"algo": "lokr",
|
1085 |
+
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|
1086 |
+
"linear_dim": 1000000,
|
1087 |
+
"linear_alpha": 1,
|
1088 |
+
"full_matrix": true
|
1089 |
+
},
|
1090 |
+
"transformer_blocks.35.norm1*": {
|
1091 |
+
"algo": "lokr",
|
1092 |
+
"factor": 1,
|
1093 |
+
"linear_dim": 1000000,
|
1094 |
+
"linear_alpha": 1,
|
1095 |
+
"full_matrix": true
|
1096 |
+
},
|
1097 |
+
"transformer_blocks.35.norm1_context*": {
|
1098 |
+
"algo": "lokr",
|
1099 |
+
"factor": 1,
|
1100 |
+
"linear_dim": 1000000,
|
1101 |
+
"linear_alpha": 1,
|
1102 |
+
"full_matrix": true
|
1103 |
+
},
|
1104 |
+
"transformer_blocks.35.ff*": {
|
1105 |
+
"algo": "lokr",
|
1106 |
+
"factor": 1,
|
1107 |
+
"linear_dim": 1000000,
|
1108 |
+
"linear_alpha": 1,
|
1109 |
+
"full_matrix": true
|
1110 |
+
},
|
1111 |
+
"transformer_blocks.35.*": {
|
1112 |
+
"algo": "lokr",
|
1113 |
+
"factor": 2,
|
1114 |
+
"linear_dim": 1000000,
|
1115 |
+
"linear_alpha": 1,
|
1116 |
+
"full_matrix": true
|
1117 |
+
},
|
1118 |
+
"transformer_blocks.36.norm1*": {
|
1119 |
+
"algo": "lokr",
|
1120 |
+
"factor": 3,
|
1121 |
+
"linear_dim": 1000000,
|
1122 |
+
"linear_alpha": 1,
|
1123 |
+
"full_matrix": true
|
1124 |
+
},
|
1125 |
+
"transformer_blocks.36.norm1_context*": {
|
1126 |
+
"algo": "lokr",
|
1127 |
+
"factor": 3,
|
1128 |
+
"linear_dim": 1000000,
|
1129 |
+
"linear_alpha": 1,
|
1130 |
+
"full_matrix": true
|
1131 |
+
},
|
1132 |
+
"transformer_blocks.36.ff*": {
|
1133 |
+
"algo": "lokr",
|
1134 |
+
"factor": 3,
|
1135 |
+
"linear_dim": 1000000,
|
1136 |
+
"linear_alpha": 1,
|
1137 |
+
"full_matrix": true
|
1138 |
+
},
|
1139 |
+
"transformer_blocks.36.*": {
|
1140 |
+
"algo": "lokr",
|
1141 |
+
"factor": 6,
|
1142 |
+
"linear_dim": 1000000,
|
1143 |
+
"linear_alpha": 1,
|
1144 |
+
"full_matrix": true
|
1145 |
+
},
|
1146 |
+
"transformer_blocks.37.norm1*": {
|
1147 |
+
"algo": "lokr",
|
1148 |
+
"factor": 3,
|
1149 |
+
"linear_dim": 1000000,
|
1150 |
+
"linear_alpha": 1,
|
1151 |
+
"full_matrix": true
|
1152 |
+
},
|
1153 |
+
"transformer_blocks.37.norm1_context*": {
|
1154 |
+
"algo": "lokr",
|
1155 |
+
"factor": 3,
|
1156 |
+
"linear_dim": 1000000,
|
1157 |
+
"linear_alpha": 1,
|
1158 |
+
"full_matrix": true
|
1159 |
+
},
|
1160 |
+
"transformer_blocks.37.ff*": {
|
1161 |
+
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|
1162 |
+
"factor": 3,
|
1163 |
+
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|
1164 |
+
"linear_alpha": 1,
|
1165 |
+
"full_matrix": true
|
1166 |
+
},
|
1167 |
+
"transformer_blocks.37.*": {
|
1168 |
+
"algo": "lokr",
|
1169 |
+
"factor": 6,
|
1170 |
+
"linear_dim": 1000000,
|
1171 |
+
"linear_alpha": 1,
|
1172 |
+
"full_matrix": true
|
1173 |
}
|
1174 |
+
},
|
1175 |
+
"use_fnmatch": true
|
1176 |
}
|
1177 |
}
|
1178 |
```
|