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README.md

@@ -84,7 +84,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 5
-- Training steps: 8000
+- Training steps: 8500
 - Learning rate: 8e-05
   - Learning rate schedule: constant
   - Warmup steps: 100
@@ -130,7 +130,7 @@ You may reuse the base model text encoder for inference.
 ### or-256
 - Repeats: 10
 - Total number of images: 37
-- Total number of aspect buckets: 6
+- Total number of aspect buckets: 2
 - Resolution: 0.065536 megapixels
 - Cropped: False
 - Crop style: None
@@ -166,7 +166,7 @@ You may reuse the base model text encoder for inference.
 ### or-768
 - Repeats: 10
 - Total number of images: 37
-- Total number of aspect buckets: 9
+- Total number of aspect buckets: 5
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -184,7 +184,7 @@ You may reuse the base model text encoder for inference.
 ### or-1024
 - Repeats: 10
 - Total number of images: 37
-- Total number of aspect buckets: 11
+- Total number of aspect buckets: 1
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -202,7 +202,7 @@ You may reuse the base model text encoder for inference.
 ### or-1440
 - Repeats: 10
 - Total number of images: 37
-- Total number of aspect buckets: 13
+- Total number of aspect buckets: 8
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None