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README.md

@@ -59,8 +59,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 52
-- Training steps: 11495
+- Training epochs: 55
+- Training steps: 12100
 - Learning rate: 3e-05
 - Effective batch size: 6
   - Micro-batch size: 2
@@ -118,7 +118,7 @@ You may reuse the base model text encoder for inference.
 ### GEN13-COVERS-REV03-1024
 - Repeats: 1
 - Total number of images: 30
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 5
 - Resolution: 1.048576 megapixels
 - Cropped: True
 - Crop style: random
@@ -134,7 +134,7 @@ You may reuse the base model text encoder for inference.
 ### GEN13-PANELS-REV03-768
 - Repeats: 0
 - Total number of images: 175
-- Total number of aspect buckets: 5
+- Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
 - Cropped: True
 - Crop style: random
@@ -142,7 +142,7 @@ You may reuse the base model text encoder for inference.
 ### GEN13-PANELS-REV03-1024
 - Repeats: 0
 - Total number of images: 176
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 2
 - Resolution: 1.048576 megapixels
 - Cropped: True
 - Crop style: random
@@ -158,7 +158,7 @@ You may reuse the base model text encoder for inference.
 ### GEN13-FRAGMENTS-REV03-768
 - Repeats: 1
 - Total number of images: 108
-- Total number of aspect buckets: 17
+- Total number of aspect buckets: 30
 - Resolution: 0.589824 megapixels
 - Cropped: True
 - Crop style: random
@@ -166,7 +166,7 @@ You may reuse the base model text encoder for inference.
 ### GEN13-FRAGMENTS-REV03-1024
 - Repeats: 1
 - Total number of images: 110
-- Total number of aspect buckets: 25
+- Total number of aspect buckets: 26
 - Resolution: 1.048576 megapixels
 - Cropped: True
 - Crop style: random