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README.md

@@ -94,7 +94,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 1
-- Training steps: 2800
+- Training steps: 2900
 - Learning rate: 0.0002
   - Learning rate schedule: polynomial
   - Warmup steps: 100
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-768
 - Repeats: 22
 - Total number of images: 50
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 8
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -157,7 +157,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-1024
 - Repeats: 10
 - Total number of images: 50
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 11
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -166,7 +166,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-1536
 - Repeats: 10
 - Total number of images: 49
-- Total number of aspect buckets: 14
+- Total number of aspect buckets: 13
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None
@@ -175,7 +175,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-512
 - Repeats: 11
 - Total number of images: 25
-- Total number of aspect buckets: 10
+- Total number of aspect buckets: 6
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -193,7 +193,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-1024
 - Repeats: 5
 - Total number of images: 25
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 17
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None