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README.md

@@ -93,8 +93,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 7
-- Training steps: 1950
+- Training epochs: 8
+- Training steps: 2100
 - Learning rate: 0.001
   - Learning rate schedule: polynomial
   - Warmup steps: 100
@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
 ### raphael-512
 - Repeats: 11
 - Total number of images: 28
-- Total number of aspect buckets: 6
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -149,7 +149,7 @@ You may reuse the base model text encoder for inference.
 ### raphael-768
 - Repeats: 11
 - Total number of images: 28
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 6
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -158,7 +158,7 @@ You may reuse the base model text encoder for inference.
 ### raphael-1024
 - Repeats: 5
 - Total number of images: 28
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 11
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None