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README.md

@@ -95,7 +95,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 6
-- Training steps: 2900
+- Training steps: 3000
 - Learning rate: 0.0006
 - Max grad norm: 0.1
 - Effective batch size: 4
@@ -138,7 +138,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-detail-crops-512
 - Repeats: 11
 - Total number of images: 49
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -156,7 +156,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-detail-crops-1024
 - Repeats: 5
 - Total number of images: 49
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 10
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None