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README.md

@@ -75,7 +75,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 1
-- Training steps: 3300
+- Training steps: 3400
 - Learning rate: 0.0002
 - Max grad norm: 0.1
 - Effective batch size: 3
@@ -118,7 +118,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-oil-512
 - Repeats: 10
 - Total number of images: 49
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 5
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -136,7 +136,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-oil-1024
 - Repeats: 22
 - Total number of images: 49
-- Total number of aspect buckets: 10
+- Total number of aspect buckets: 2
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -145,7 +145,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-oil-1536
 - Repeats: 22
 - Total number of images: 49
-- Total number of aspect buckets: 8
+- Total number of aspect buckets: 13
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None
@@ -154,7 +154,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-512
 - Repeats: 5
 - Total number of images: 74
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -163,7 +163,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-768
 - Repeats: 5
 - Total number of images: 74
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 14
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None