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README.md

@@ -174,8 +174,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 41
-- Training steps: 9450
+- Training epochs: 46
+- Training steps: 10500
 - Learning rate: 1e-05
 - Max grad norm: 0.01
 - Effective batch size: 2
@@ -199,7 +199,7 @@ You may reuse the base model text encoder for inference.
 ### BESCH-SD35-V01-512
 - Repeats: 1
 - Total number of images: 70
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 6
 - Resolution: 0.262144 megapixels
 - Cropped: True
 - Crop style: random
@@ -208,7 +208,7 @@ You may reuse the base model text encoder for inference.
 ### BESCH-SD35-V01-768
 - Repeats: 1
 - Total number of images: 70
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 6
 - Resolution: 0.589824 megapixels
 - Cropped: True
 - Crop style: random
@@ -217,7 +217,7 @@ You may reuse the base model text encoder for inference.
 ### BESCH-SD35-V01-1024
 - Repeats: 1
 - Total number of images: 70
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 6
 - Resolution: 1.048576 megapixels
 - Cropped: True
 - Crop style: random