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README.md

@@ -94,7 +94,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 10
-- Training steps: 3800
+- Training steps: 4000
 - Learning rate: 0.0006
   - Learning rate schedule: polynomial
   - Warmup steps: 200
@@ -140,7 +140,7 @@ You may reuse the base model text encoder for inference.
 ### aeb-512
 - Repeats: 12
 - Total number of images: 21
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 1
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -158,7 +158,7 @@ You may reuse the base model text encoder for inference.
 ### aeb-1024
 - Repeats: 5
 - Total number of images: 21
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 4
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -167,7 +167,7 @@ You may reuse the base model text encoder for inference.
 ### aeb-1536
 - Repeats: 2
 - Total number of images: 21
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 1
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None