Model card auto-generated by SimpleTuner

README.md

@@ -110,8 +110,8 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 5700
-- Learning rate: 9e-05
+- Training steps: 100
+- Learning rate: 4e-05
 - Effective batch size: 16
   - Micro-batch size: 1
   - Gradient accumulation steps: 16
@@ -131,51 +131,63 @@ You may reuse the base model text encoder for inference.
     "linear_alpha": 1,
     "factor": 10,
     "full_matrix": true,
+    "use_scalar": true,
     "apply_preset": {
+        "target_module": [
+            "FluxTransformerBlock",
+            "FluxSingleTransformerBlock"
+        ],
         "name_algo_map": {
-            "transformer_blocks.[0-7].attn..*": {
+            "transformer_blocks.[0-7]*": {
                 "algo": "lokr",
-                "factor": 5,
+                "factor": 4,
                 "linear_dim": 1000000,
                 "linear_alpha": 1,
+                "use_scalar": true,
                 "full_matrix": true
             },
-            "transformer_blocks.(8|9|1[0-5])..*": {
+            "transformer_blocks.[8-15]*": {
                 "algo": "lokr",
                 "factor": 6,
                 "linear_dim": 1000000,
                 "linear_alpha": 1,
+                "use_scalar": true,
                 "full_matrix": true
             },
-            "transformer_blocks.(1[6-8])..*": {
+            "transformer_blocks.[16-18]*": {
                 "algo": "lokr",
                 "factor": 12,
                 "linear_dim": 1000000,
                 "linear_alpha": 1,
+                "use_scalar": true,
                 "full_matrix": true
             },
-            "single_transformer_blocks.(0|1[0-5]|[1-9])..*": {
+            "single_transformer_blocks.[0-15]*": {
                 "algo": "lokr",
-                "factor": 10,
+                "factor": 8,
                 "linear_dim": 1000000,
                 "linear_alpha": 1,
+                "use_scalar": true,
                 "full_matrix": true
             },
-            "single_transformer_blocks.(1[6-9]|2[0-3])..*": {
+            "single_transformer_blocks.[16-23]*": {
                 "algo": "lokr",
-                "factor": 8,
+                "factor": 6,
                 "linear_dim": 1000000,
                 "linear_alpha": 1,
+                "use_scalar": true,
                 "full_matrix": true
             },
-            "single_transformer_blocks.(2[4-9]|3[0-7])..*": {
+            "single_transformer_blocks.[24-37]*": {
                 "algo": "lokr",
-                "factor": 6,
+                "factor": 4,
                 "linear_dim": 1000000,
                 "linear_alpha": 1,
+                "use_scalar": true,
                 "full_matrix": true
             }
-        }
+        },
+        "use_fnmatch": true
     }
 }
 ```
@@ -185,7 +197,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb
 - Repeats: 9999
 - Total number of images: 41
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 11
 - Resolution: 1.33 megapixels
 - Cropped: False
 - Crop style: None
@@ -201,7 +213,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb3
 - Repeats: 9999
 - Total number of images: 3220
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 23
 - Resolution: 1.33 megapixels
 - Cropped: False
 - Crop style: None