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README.md

@@ -99,7 +99,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 2
-- Training steps: 4500
+- Training steps: 4750
 - Learning rate: 0.0004
   - Learning rate schedule: polynomial
   - Warmup steps: 100
@@ -145,7 +145,7 @@ You may reuse the base model text encoder for inference.
 ### dore-background-512
 - Repeats: 22
 - Total number of images: 48
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 5
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -154,7 +154,7 @@ You may reuse the base model text encoder for inference.
 ### dore-background-768
 - Repeats: 22
 - Total number of images: 48
-- Total number of aspect buckets: 7
+- Total number of aspect buckets: 1
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -163,7 +163,7 @@ You may reuse the base model text encoder for inference.
 ### dore-background-1024
 - Repeats: 11
 - Total number of images: 48
-- Total number of aspect buckets: 1
+- Total number of aspect buckets: 7
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -172,7 +172,7 @@ You may reuse the base model text encoder for inference.
 ### dore-background-1536
 - Repeats: 5
 - Total number of images: 46
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 10
 - Resolution: 2.359296 megapixels
 - Cropped: False
 - Crop style: None