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README.md

@@ -83,8 +83,8 @@ You may reuse the base model text encoder for inference.
 
 ## Training settings
 
-- Training epochs: 9
-- Training steps: 13000
+- Training epochs: 10
+- Training steps: 14000
 - 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.
 ### drk-256
 - Repeats: 10
 - Total number of images: 32
-- Total number of aspect buckets: 4
+- Total number of aspect buckets: 1
 - Resolution: 0.065536 megapixels
 - Cropped: False
 - Crop style: None
@@ -148,7 +148,7 @@ You may reuse the base model text encoder for inference.
 ### drk-512
 - Repeats: 10
 - Total number of images: 32
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 3
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -166,7 +166,7 @@ You may reuse the base model text encoder for inference.
 ### drk-768
 - Repeats: 10
 - Total number of images: 32
-- Total number of aspect buckets: 5
+- Total number of aspect buckets: 3
 - Resolution: 0.589824 megapixels
 - Cropped: False
 - Crop style: None
@@ -184,7 +184,7 @@ You may reuse the base model text encoder for inference.
 ### drk-1024
 - Repeats: 10
 - Total number of images: 32
-- Total number of aspect buckets: 5
+- Total number of aspect buckets: 9
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None