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README.md

@@ -329,7 +329,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 2
-- Training steps: 294000
+- Training steps: 295000
 - Learning rate: 5e-05
   - Learning rate schedule: constant
   - Warmup steps: 500
@@ -386,7 +386,7 @@ You may reuse the base model text encoder for inference.
 ### signs
 - Repeats: 150
 - Total number of images: ~420
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -413,7 +413,7 @@ You may reuse the base model text encoder for inference.
 ### shutterstock
 - Repeats: 0
 - Total number of images: ~21111
-- Total number of aspect buckets: 35
+- Total number of aspect buckets: 34
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -494,7 +494,7 @@ You may reuse the base model text encoder for inference.
 ### signs-1440
 - Repeats: 100
 - Total number of images: ~423
-- Total number of aspect buckets: 9
+- Total number of aspect buckets: 25
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None
@@ -503,7 +503,7 @@ You may reuse the base model text encoder for inference.
 ### moviecollection-1440
 - Repeats: 0
 - Total number of images: ~2007
-- Total number of aspect buckets: 43
+- Total number of aspect buckets: 42
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None
@@ -521,7 +521,7 @@ You may reuse the base model text encoder for inference.
 ### shutterstock-1440
 - Repeats: 0
 - Total number of images: ~21111
-- Total number of aspect buckets: 40
+- Total number of aspect buckets: 39
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None