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README.md

@@ -94,7 +94,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 450
+- Training steps: 600
 - Learning rate: 0.0004
   - Learning rate schedule: polynomial
   - Warmup steps: 150
@@ -162,7 +162,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-512
 - Repeats: 22
 - Total number of images: 50
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 2
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -171,7 +171,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-768
 - Repeats: 22
 - Total number of images: 50
-- Total number of aspect buckets: 6
+- Total number of aspect buckets: 2
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -180,7 +180,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-1024
 - Repeats: 10
 - Total number of images: 50
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -189,7 +189,7 @@ 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
@@ -198,7 +198,7 @@ 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: 2
+- Total number of aspect buckets: 10
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -207,7 +207,7 @@ You may reuse the base model text encoder for inference.
 ### cassatt-crops-768
 - Repeats: 11
 - Total number of images: 25
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None