Model card auto-generated by SimpleTuner

README.md

@@ -105,7 +105,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 6
-- Training steps: 3400
+- Training steps: 3500
 - Learning rate: 0.001
 - Max grad norm: 0.1
 - Effective batch size: 6
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
 ### benbrand-512
 - Repeats: 11
 - Total number of images: 98
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 7
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -166,7 +166,7 @@ You may reuse the base model text encoder for inference.
 ### benbrand-1024
 - Repeats: 5
 - Total number of images: 98
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 2
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -175,7 +175,7 @@ You may reuse the base model text encoder for inference.
 ### benbrand-1536
 - Repeats: 2
 - Total number of images: 98
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 1
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None