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README.md

@@ -99,8 +99,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 0
-- Training steps: 200
+- Training epochs: 1
+- Training steps: 400
 - Learning rate: 0.0002
 - Max grad norm: 0.1
 - Effective batch size: 3
@@ -143,7 +143,7 @@ You may reuse the base model text encoder for inference.
 ### sullivan-512
 - Repeats: 11
 - Total number of images: 22
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 4
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -152,7 +152,7 @@ You may reuse the base model text encoder for inference.
 ### sullivan-768
 - Repeats: 11
 - Total number of images: 22
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -161,7 +161,7 @@ You may reuse the base model text encoder for inference.
 ### sullivan-1024
 - Repeats: 5
 - Total number of images: 22
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 7
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -170,7 +170,7 @@ You may reuse the base model text encoder for inference.
 ### sullivan-1536
 - Repeats: 2
 - Total number of images: 22
-- Total number of aspect buckets: 8
+- Total number of aspect buckets: 5
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None