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README.md

@@ -330,7 +330,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 1
-- Training steps: 57000
+- Training steps: 58000
 - Learning rate: 5e-06
   - Learning rate schedule: constant
   - Warmup steps: 500
@@ -404,7 +404,7 @@ You may reuse the base model text encoder for inference.
 ### shutterstock
 - Repeats: 0
 - Total number of images: ~21111
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 10
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -440,7 +440,7 @@ You may reuse the base model text encoder for inference.
 ### moviecollection-512
 - Repeats: 0
 - Total number of images: ~1971
-- Total number of aspect buckets: 10
+- Total number of aspect buckets: 9
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -485,7 +485,7 @@ You may reuse the base model text encoder for inference.
 ### signs-1440
 - Repeats: 100
 - Total number of images: ~423
-- Total number of aspect buckets: 25
+- Total number of aspect buckets: 16
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None
@@ -494,7 +494,7 @@ You may reuse the base model text encoder for inference.
 ### moviecollection-1440
 - Repeats: 0
 - Total number of images: ~2007
-- Total number of aspect buckets: 46
+- Total number of aspect buckets: 44
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None
@@ -521,7 +521,7 @@ You may reuse the base model text encoder for inference.
 ### cinemamix-1mp-1440
 - Repeats: 0
 - Total number of images: ~7425
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 2
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None