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: 43
-- Training steps: 13000
-- Learning rate: 3e-06
+- Training steps: 13100
+- Learning rate: 1e-06
 - Effective batch size: 16
   - Micro-batch size: 1
   - Gradient accumulation steps: 16
@@ -232,7 +232,7 @@ You may reuse the base model text encoder for inference.
 ### default_dataset_arb1
 - Repeats: 0
 - Total number of images: 68
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 12
 - Resolution: 1.5 megapixels
 - Cropped: False
 - Crop style: None
@@ -255,23 +255,23 @@ You may reuse the base model text encoder for inference.
 - Crop aspect: closest
 ### default_dataset_arb3
 - Repeats: 0
-- Total number of images: 2167
-- Total number of aspect buckets: 13
+- Total number of images: 2341
+- Total number of aspect buckets: 46
 - Resolution: 1.5 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### default_dataset_arb4
 - Repeats: 0
-- Total number of images: 2889
-- Total number of aspect buckets: 12
+- Total number of images: 3155
+- Total number of aspect buckets: 41
 - Resolution: 1.0 megapixels
 - Cropped: False
 - Crop style: None
 - Crop aspect: None
 ### default_dataset_art
 - Repeats: 0
-- Total number of images: 2276
+- Total number of images: 2482
 - Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: True