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README.md

@@ -60,7 +60,7 @@ You may reuse the base model text encoder for inference.
 ## Training settings
 
 - Training epochs: 0
-- Training steps: 1000
+- Training steps: 1250
 - Learning rate: 0.0001
   - Learning rate schedule: polynomial
   - Warmup steps: 100
@@ -127,7 +127,7 @@ You may reuse the base model text encoder for inference.
 ### emi-512
 - Repeats: 10
 - Total number of images: 22
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 2
 - Resolution: 0.262144 megapixels
 - Cropped: False
 - Crop style: None
@@ -163,7 +163,7 @@ You may reuse the base model text encoder for inference.
 ### emi-1024
 - Repeats: 10
 - Total number of images: 22
-- Total number of aspect buckets: 3
+- Total number of aspect buckets: 2
 - Resolution: 1.048576 megapixels
 - Cropped: False
 - Crop style: None
@@ -181,7 +181,7 @@ You may reuse the base model text encoder for inference.
 ### emi-1440
 - Repeats: 10
 - Total number of images: 22
-- Total number of aspect buckets: 2
+- Total number of aspect buckets: 3
 - Resolution: 2.0736 megapixels
 - Cropped: False
 - Crop style: None